759 Scientific Engineer jobs in the United States

Position Description

ERT is seeking a mid-level Scientific Software Engineer for upcoming work supporting NOAA's National Ocean Service (NOS) National Geodetic Survey (NGS). This position will provide development, maintenance, and support for VDatum, a suite of programs used to facilitate conversion of coordinates between two vertical datums.

Duties include:

• Upload data into NGS's VDatum database, improve the algorithms used for datum transformations, implement solutions, and provide formal documentation for using the software
• Audit, test, and evaluate locally developed software enhancements, fixes, and patches.
• Provide web content, web development and support for distribution of the VDatum software and outreach/training materials, and customer support.
• Provide analysis, solutions, and implementation strategies to improve system performance, efficiency, and technology relevance.
• Development, maintenance, and issue resolution of the VDatum website, which provides VDatum distribution, outreach/educational materials, and customer support.
• Interact with NGS subject matter experts, identify new requirements, and provide enhancements to underlying software and web pages as needed.
• Modernize VDatum conversion and transformation capabilities to be in sync with other NOAA geodetic software, such as NCAT.
• Assist in creating development plans for implementation, and deployment of the online VDatum as web application, web service, and API and in the development and implementation of standard operating procedures.

Requirements

• 6 - 8 years of relevant experience
• JAVA and Python programming languages, web development, software development lifecycles, and software versioning.
• Must be a US Citizen or Permanent Resident who has lived in the United States at least 3 out of the last 5 years and be able to pass a background investigation to obtain a security badge to access applicable government facilities and systems.

Education
Bachelors of Science degree in Mathematics or Geodesy or related science or equivalent

Location
This is a fully remote position supporting work in Silver Spring, MD.

Compensation
The salary range for this role is $62,000 - $275,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills.

Benefits
All full-time employees are eligible to participate in our flexible benefits package, which includes:

• Medical, Rx, Dental, and Vision Insurance
• 401(k) retirement plan with company-matching
• 11 Paid Federal Government Holidays
• Paid Time Off (PTO)
• Basic Life & Supplemental Life
• Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Employee assistance program (EAP)
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Professional Membership Reimbursement
• Employee Referral Program
• Competitive compensation plan
• Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance
• Publication and Conference Presentation Awards with bonuses

ERT is a VEVRAA Federal Contractor and Equal Opportunity employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.

#LI-Remote

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Analytics and Workflows group within the Center of Excellence (CoE) is dedicated to turning complex data into actionable insights that advance drug discovery and development. We leverage cutting-edge high-throughput technologies and foundational multimodal machine learning models to analyze large-scale biological data, enabling deeper understanding of disease mechanisms and the identification of novel therapeutic opportunities. Despite advances in these fields, however, transforming raw data and computational models into meaningful biological insights remains a key challenge. In this role, you'll work at the intersection of data science, biology, and engineering to build innovative analytical tools that bridge the gap between data generation and biological interpretation-helping unlock new avenues for scientific discovery and impact.

The Opportunity

Within this group, you'll collaborate with a cross-functional team to design, develop, and deploy robust tools that empower scientists to explore, visualize, and interpret complex biological datasets and models-ranging from spatial transcriptomics and high-throughput chemical screens to real-world clinical data. While you won't be expected to be an expert across the full technology stack, we value fluency across boundaries. Depending on your background, your work may focus more on front-end or backend engineering, and could include:

• Engaging directly with scientists-at the bench or the keyboard-to understand and clarify emerging (and sometimes ambiguous) analytical needs

• Identifying, evaluating, and applying emerging technologies to analyze and visualize biological and chemical data in support of drug discovery and development

• Designing and implementing modular, extensible platforms that allow biologists and data scientists to access, share, and interpret computational results, abstracting technical complexity while enabling scientific insight

• Building scalable, high-performance data pipelines and backend systems, including APIs and services, to efficiently process and deliver large-scale, multimodal biological data.

• Creating intuitive, interactive visualizations that integrate diverse biological data types (e.g., spatial imaging, transcriptomic, clinical), helping scientists explore hypotheses and uncover insights

• Collaborating across distributed scientific, engineering, and design teams to support end-to-end development-from early exploration to production-ready applications

Who you are

• Ph.D. in Data Science, Mathematics, Statistics, Computer Science, Life Sciences, Chemistry, Public Health, or a related field, with 2+ years of relevant experience; alternatively, a Master's degree with 5+ years of relevant experience

• Strong analytical intuition for extracting meaning from complex datasets, coupled with the ability to communicate insights effectively across disciplines and backgrounds.

• Proficient in using Python and/or R to transform and analyze complex biological datasets, with a solid understanding of software engineering principles such as modular design, testing, and version control in collaborative, production-oriented environments

• Experienced in building static and interactive visualizations using modern libraries and tools (e.g. , D3.js, Vega-Lite, WebGPU, Plotly; Shiny, ggplot2; Streamlit, Dash, Altair, Seaborn, Bokeh)

• Preferred expertise building intuitive front-end applications using modern JavaScript or TypeScript frameworks (e.g. , Svelte, Vue, React), with seamless integration of interactive web-based visualizations (e.g. , D3.js, WebGL, WebGPU)

• Preferred experience in backend development with Python, including building scalable APIs using frameworks such as FastAPI and GraphQL

• Preferred familiarity with cloud platforms (e.g. , AWS, Azure, GCP) and containerization technologies (e.g. , Docker, Kubernetes)

• Comfortable collaborating with AI/ML scientists to integrate outputs from machine learning models-such as embeddings, classifications, or generative outputs-into user-facing tools that enable model interpretability and interaction

• Bonus: Experience designing tools or workflows that leverage AI-such as LLMs or agentic systems-to assist with biological data exploration and interpretation

• Curious, eager to grow new skills, and excited to explore emerging technologies while collaborating across diverse, multidisciplinary teams

The expected salary range for this position based on the primary location of California is $162,600 and $ 302,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Relocation benefits are available for this posting.

This position requires being onsite 3 days a week.

**Please provide a Cover letter and a Link to your personal website, URL and GitHub in your application **.

#ComputationCoE

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

• Development and maintain QuEra's Static Single Assignment intermediate representations-based compiler infrastructure and compiler components at various abstractions used by our hardware engineers and scientists.
• Design novel domain specific languages specific to our hardware as well as Bloqade SDK together with the team.
• Integrate existing simulation tools with the compiler pipeline and cloud service.
• Communicate and collaborate with QuEra scientists and external customers to meet their use case requirements.

• Ph.D. in Computer Science with focus on quantum computation/architecture/programming language/compiler, or equivalent professional experience.
• Enthusiastic in building software tools for scientists especially physicists.
• Experience with Python semantics, Python type hints, CPython interpreter.
• Experience with at least one of the compiled languages and experienced with their type system, e.g C++, Julia, Rust, Haskell, OCamel, etc.
• Experience with Static Single Assignment intermediate representations-based compiler development.
• Knowledge of the full lifecycle of software development, including version control, code review, testing, CI/CD, logging, profiling, debugging, and documentation.
• Knowledge of quantum computing basics, e.g., common quantum algorithms, quantum information theory basics.

• Experience with using LLVM or MLIR for compiler development, or experience with an existing compiler development
• Programming language design, especially programming language theory
• Quantum program optimization, e.g quantum circuit simplification, scheduling, routing, etc.
• Quantum error correction
• Contribution to existing open-source libraries
• Experience with existing circuit simulation tools, e.g, cirq, qiskit, CUDA Quantum, etc.

• Lead software development life cycle (SDLC) activities including planning, analysis, design, implementation, testing, documentation, and delivery.
• Serve as the day-to-day point of contact for assigned development tasks and lead cross-functional teams to ensure timely and high-quality deliverables.
• Interpret complex technical and scientific requirements and translate them into effective software solutions.
• Act as a senior advisor to customers and stakeholders on technical architecture, software strategies, and research applications.
• Oversee project reporting and resource allocation, ensuring alignment with scope, objectives, and milestones.

• Design, develop, test, and implement robust and scalable Java-based web applications, including both front-end and back-end components.
• Develop applications using modern frameworks such as the Spring Framework, integrating open-source tools and libraries.
• Maintain secure development practices, analyzing and addressing security vulnerabilities in applications.
• Implement and manage terminology editing tools and processes, particularly those based in OWL and description logic.
• Configure, manage, and operate MEME software, including experience running full MEME production cycles for systems such as the NCI Metathesaurus.
• Utilize Triplestore databases and write advanced SPARQL queries for semantic data retrieval and processing.
• Manage source code using Git/GitHub and automate builds and deployments using Jenkins CI/CD pipelines.
• Work comfortably within Linux environments and utilize command-line tools for configuration, monitoring, and debugging.
• Support development in cloud-based environments (e.g., AWS), focusing on scalability, performance, and integration.

• Apply knowledge of biomedical vocabularies and ontologies such as LOINC, ICD-9/10, ICD-O, Gene Ontology, and SNOMED.
• Participate in ontology modeling and terminology development efforts using OWL and other semantic standards.
• Collaborate with biomedical content specialists and informatics teams to align application functionality with domain-specific semantic needs.

• Bachelor's degree (BA or BS) in Computer Science, Information Systems, Engineering, or related technical or scientific discipline.
• Minimum of ten (10) years of progressive experience in scientific software development and systems analysis.
• Familiarity with biomedical informatics or scientific research environments.
• Experience with description logic-based systems and editing tools (e.g., Protégé).
• Proficiency in Triplestore technologies and semantic query languages (e.g., SPARQL).
• Experience in DevOps, cloud infrastructure (e.g., AWS), and containerization tools.
• Knowledge of biomedical terminologies including but not limited to LOINC, ICD9/10, SNOMED CT, and Gene Ontology.
• Proven expertise in full-stack Java application development, including Spring Framework.
• Experience working with terminology/ontology tools and systems, including MEME and OWL-based editors.
• Strong analytical and problem-solving skills with ability to translate scientific needs into technical solutions.
• Excellent communication and leadership skills for interfacing with clients, team members, and stakeholders.

Location: Bethesda, MD

Work Type: Hybrid Work (Minimum 2 Days Onsite)

Required Clearance : Ability to obtain Public Trust

LCG, Inc. provides insight into the impact of public programs that advance our society. For more than 20 years, LCG, Inc. has been a leading provider of technology-based consulting services, biomedical research support, grants management, decision analytics, software engineering and IT operations that enhance the transparency, efficiency, and empowerment of programs with health and science missions

Job Title: Senior Scientific Software Engineer

Job Summary: The Senior Scientific Software Engineer is a technical and strategic leader responsible for the design, implementation, and management of advanced software applications and systems in support of biomedical and scientific informatics initiatives. This role demands extensive experience in full-stack Java development, terminology systems, cloud-based architecture, and biomedical data standards. The candidate will serve as a task lead and subject matter expert, contributing to the successful delivery of highly complex systems and applications used across scientific research and public health domains.

Key Responsibilities

Project and Systems Leadership

• Lead software development life cycle (SDLC) activities including planning, analysis, design, implementation, testing, documentation, and delivery.
• Serve as the day-to-day point of contact for assigned development tasks and lead cross-functional teams to ensure timely and high-quality deliverables.
• Interpret complex technical and scientific requirements and translate them into effective software solutions.
• Act as a senior advisor to customers and stakeholders on technical architecture, software strategies, and research applications.
• Oversee project reporting and resource allocation, ensuring alignment with scope, objectives, and milestones.

Development and Technical Expertise

• Design, develop, test, and implement robust and scalable Java-based web applications, including both front-end and back-end components.
• Develop applications using modern frameworks such as the Spring Framework, integrating open-source tools and libraries.
• Maintain secure development practices, analyzing and addressing security vulnerabilities in applications.
• Implement and manage terminology editing tools and processes, particularly those based in OWL and description logic.
• Configure, manage, and operate MEME software, including experience running full MEME production cycles for systems such as the NCI Metathesaurus.
• Utilize Triplestore databases and write advanced SPARQL queries for semantic data retrieval and processing.
• Manage source code using Git/GitHub and automate builds and deployments using Jenkins CI/CD pipelines.
• Work comfortably within Linux environments and utilize command-line tools for configuration, monitoring, and debugging.
• Support development in cloud-based environments (e.g., AWS), focusing on scalability, performance, and integration.

Terminology and Semantic Integration

• Apply knowledge of biomedical vocabularies and ontologies such as LOINC, ICD-9/10, ICD-O, Gene Ontology, and SNOMED.
• Participate in ontology modeling and terminology development efforts using OWL and other semantic standards.
• Collaborate with biomedical content specialists and informatics teams to align application functionality with domain-specific semantic needs.

Qualifications

• Bachelor's degree (BA or BS) in Computer Science, Information Systems, Engineering, or related technical or scientific discipline.
• Minimum of ten (10) years of progressive experience in scientific software development and systems analysis.
• Familiarity with biomedical informatics or scientific research environments.
• Experience with description logic-based systems and editing tools (e.g., Protege).
• Proficiency in Triplestore technologies and semantic query languages (e.g., SPARQL).
• Experience in DevOps, cloud infrastructure (e.g., AWS), and containerization tools.
• Knowledge of biomedical terminologies including but not limited to LOINC, ICD9/10, SNOMED CT, and Gene Ontology.
• Proven expertise in full-stack Java application development, including Spring Framework.
• Experience working with terminology/ontology tools and systems, including MEME and OWL-based editors.
• Strong analytical and problem-solving skills with ability to translate scientific needs into technical solutions.
• Excellent communication and leadership skills for interfacing with clients, team members, and stakeholders.

Compensation and Benefits

The projected compensation range for this position is $90,000 to $130,000 per year benchmarked in the Washington, D.C. metropolitan area. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.

LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.

Devoted to Fair and Inclusive Practices

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at

Securing Your Data

Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Location: Bethesda, MD

Work Type: Hybrid Work (Minimum 2 Days Onsite)

Required Clearance: Ability to obtain Public Trust

LCG, Inc. provides insight into the impact of public programs that advance our society. For more than 20 years, LCG, Inc. has been a leading provider of technology-based consulting services, biomedical research support, grants management, decision analytics, software engineering and IT operations that enhance the transparency, efficiency, and empowerment of programs with health and science missions

Job Title: Scientific Software Engineer, Associate

Job Summary: The Associate Scientific Engineer supports the design, development, and maintenance of software applications and systems for biomedical and scientific informatics initiatives. This role requires a solid foundation in full-stack Java development, a working knowledge of terminology systems and semantic technologies, and a strong interest in contributing to public health and research infrastructure. The candidate will work under the guidance of senior engineers and scientists, supporting the successful delivery of systems and services that enhance biomedical data integration, analysis, and standards adoption.

Key Responsibilities

Technical Support and Development

• Assist in the development and maintenance of Java-based web applications, supporting both front-end and back-end components.
• Participate in the software development life cycle (SDLC), including requirements gathering, coding, testing, debugging, and documentation.
• Use frameworks such as Spring and open-source libraries to build scalable and maintainable applications.
• Help identify and resolve software bugs and participate in vulnerability mitigation tasks.

Semantic Technologies and Terminology Support

• Support the configuration and operation of terminology development tools such as MEME and Protege.
• Assist in implementing and managing OWL-based ontologies and participate in quality control processes.
• Work with Triplestore technologies and write SPARQL queries under senior staff guidance.

Collaboration and Communication

• Collaborate with technical teams and biomedical domain experts to ensure alignment of system functionality with scientific and data standards requirements.
• Contribute to internal documentation, reports, and technical deliverables.
• Participate in team meetings and status reviews to report progress and identify blockers.

Infrastructure and Deployment

• Use Git/GitHub for source control and Jenkins for automated build and deployment processes.
• Operate within Linux environments for basic configuration and troubleshooting tasks.
• Learn and support deployment activities in cloud-based environments (e.g., AWS).

Qualifications

• Bachelor's degree (BA or BS) in Computer Science, Information Systems, Engineering, or a related technical or scientific discipline.
• 3-5 years of experience in software development, ideally in biomedical or scientific environments.
• Experience in Java development and working knowledge of frameworks such as Spring.
• Familiarity with Git, Jenkins, and Linux command-line tools.
• Understanding of software security best practices.
• Exposure to or experience with biomedical informatics, ontologies, or terminology standards (e.g., SNOMED, LOINC, ICD, Gene Ontology).
• Experience or coursework in semantic technologies (OWL, RDF, SPARQL).
• Familiarity with cloud computing services and environments such as AWS.
• Experience supporting ontology editing tools such as Protege and terminology management tools such as MEME.
• Strong written and verbal communication skills, with an interest in collaborative development.
• Eager to learn and grow within a fast-paced, research-oriented environment.
• Comfortable working in a team setting and accepting direction from senior team members.
• Detail-oriented with strong organizational skills and a proactive attitude toward problem-solving.

Compensation and Benefits

The projected compensation range for this position is $90,000 to $130,000 per year benchmarked in the Washington, D.C. metropolitan area. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.

LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.

Devoted to Fair and Inclusive Practices

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at

Securing Your Data

Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission

• Assist in the development and maintenance of Java-based web applications, supporting both front-end and back-end components.
• Participate in the software development life cycle (SDLC), including requirements gathering, coding, testing, debugging, and documentation.
• Use frameworks such as Spring and open-source libraries to build scalable and maintainable applications.
• Help identify and resolve software bugs and participate in vulnerability mitigation tasks.

• Support the configuration and operation of terminology development tools such as MEME and Protégé.
• Assist in implementing and managing OWL-based ontologies and participate in quality control processes.
• Work with Triplestore technologies and write SPARQL queries under senior staff guidance.

• Collaborate with technical teams and biomedical domain experts to ensure alignment of system functionality with scientific and data standards requirements.
• Contribute to internal documentation, reports, and technical deliverables.
• Participate in team meetings and status reviews to report progress and identify blockers.

• Use Git/GitHub for source control and Jenkins for automated build and deployment processes.
• Operate within Linux environments for basic configuration and troubleshooting tasks.
• Learn and support deployment activities in cloud-based environments (e.g., AWS).

• Bachelor's degree (BA or BS) in Computer Science, Information Systems, Engineering, or a related technical or scientific discipline.
• 3-5 years of experience in software development, ideally in biomedical or scientific environments.
• Experience in Java development and working knowledge of frameworks such as Spring.
• Familiarity with Git, Jenkins, and Linux command-line tools.
• Understanding of software security best practices.
• Exposure to or experience with biomedical informatics, ontologies, or terminology standards (e.g., SNOMED, LOINC, ICD, Gene Ontology).
• Experience or coursework in semantic technologies (OWL, RDF, SPARQL).
• Familiarity with cloud computing services and environments such as AWS.
• Experience supporting ontology editing tools such as Protégé and terminology management tools such as MEME.
• Strong written and verbal communication skills, with an interest in collaborative development.
• Eager to learn and grow within a fast-paced, research-oriented environment.
• Comfortable working in a team setting and accepting direction from senior team members.
• Detail-oriented with strong organizational skills and a proactive attitude toward problem-solving.

• Develop standard libraries around our internal and open-source eDSLs at various programmable levels of the stack. Components of the standard library may include Hamiltonian simulation, error correction, and commonly used quantum subroutines.
• Identify language design flaws and compiler bugs encountered during the development
• Write comprehensive documentations for user-facing APIs
• Collaborate with research scientists and experimentalists to design new architecture-specific algorithms and optimize frequently used subroutines
• Collaborate with other members of the scientific software team and quantum solutions team to identify use cases, advance language design, and optimizing compilers

• Masters in Physics or Computer Science with focus on one or many of quantum computation, quantum information, quantum algorithms, computational condensed matter theory, or equivalent professional experience
• Enthusiastic about building tools used by non-software developers
• Knowledge of at least one of the following: Hamiltonian simulation, quantum error correction, quantum machine learning, orquantum optimization
• Record of publication in quantum information science or relevant fields
• Proficient with Python, especially Python type hints and design patterns
• Knowledge of the full lifecycle of software development, including version control, code review, testing, CI/CD, logging, profiling, debugging, and documentation

• Ph.D. in Physics or Computer Science with focus on quantum computation/information/algorithms/computational condensed matter theory, or equivalent professional experience
• Deep knowledge of quantum algorithms, AMO physics, and programming language design
• Proven capability of serious software engineering, such as open-source packages and contribution
• Experience in technical writing
• Experience with compiled languages such as C++, Rust, Julia

A healthier future. Its what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. Thats what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roches Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Analytics and Workflows group within the Center of Excellence (CoE) is dedicated to turning complex data into actionable insights that advance drug discovery and development. We leverage cutting-edge high-throughput technologies and foundational multimodal machine learning models to analyze large-scale biological data, enabling deeper understanding of disease mechanisms and the identification of novel therapeutic opportunities. Despite advances in these fields, however, transforming raw data and computational models into meaningful biological insights remains a key challenge. In this role, youll work at the intersection of data science, biology, and engineering to build innovative analytical tools that bridge the gap between data generation and biological interpretationhelping unlock new avenues for scientific discovery and impact.

The Opportunity

Within this group, youll collaborate with a cross-functional team to design, develop, and deploy robust tools that empower scientists to explore, visualize, and interpret complex biological datasets and modelsranging from spatial transcriptomics and high-throughput chemical screens to real-world clinical data. While you wont be expected to be an expert across the full technology stack, we value fluency across boundaries. Depending on your background, your work may focus more on front-end or backend engineering, and could include:

• Engaging directly with scientistsat the bench or the keyboardto understand and clarify emerging (and sometimes ambiguous) analytical needs

• Identifying, evaluating, and applying emerging technologies to analyze and visualize biological and chemical data in support of drug discovery and development

• Designing and implementing modular, extensible platforms that allow biologists and data scientists to access, share, and interpret computational results, abstracting technical complexity while enabling scientific insight

• Building scalable, high-performance data pipelines and backend systems, including APIs and services, to efficiently process and deliver large-scale, multimodal biological data.

• Creating intuitive, interactive visualizations that integrate diverse biological data types (e.g., spatial imaging, transcriptomic, clinical), helping scientists explore hypotheses and uncover insights

• Collaborating across distributed scientific, engineering, and design teams to support end-to-end developmentfrom early exploration to production-ready applications

Who you are

• Ph.D. in Data Science, Mathematics, Statistics, Computer Science, Life Sciences, Chemistry, Public Health, or a related field, with 2+ years of relevant experience; alternatively, a Masters degree with 5+ years of relevant experience

• Strong analytical intuition for extracting meaning from complex datasets, coupled with the ability to communicate insights effectively across disciplines and backgrounds.

• Proficient in using Python and/or R to transform and analyze complex biological datasets, with a solid understanding of software engineering principles such as modular design, testing, and version control in collaborative, production-oriented environments

• Experienced in building static and interactive visualizations using modern libraries and tools ( e.g. , D3.js, Vega-Lite, WebGPU, Plotly; Shiny, ggplot2; Streamlit, Dash, Altair, Seaborn, Bokeh)

• Preferred expertise building intuitive front-end applications using modern JavaScript or TypeScript frameworks ( e.g. , Svelte, Vue, React), with seamless integration of interactive web-based visualizations ( e.g. , D3.js, WebGL, WebGPU)

• Preferred experience in backend development with Python, including building scalable APIs using frameworks such as FastAPI and GraphQL

• Preferred familiarity with cloud platforms ( e.g. , AWS, Azure, GCP) and containerization technologies ( e.g. , Docker, Kubernetes)

• Comfortable collaborating with AI/ML scientists to integrate outputs from machine learning modelssuch as embeddings, classifications, or generative outputsinto user-facing tools that enable model interpretability and interaction

• Bonus: Experience designing tools or workflows that leverage AIsuch as LLMs or agentic systemsto assist with biological data exploration and interpretation

• Curious, eager to grow new skills, and excited to explore emerging technologies while collaborating across diverse, multidisciplinary teams

The expected salary range for this position based on the primary location of California is $162,600 and $ 302,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Relocation benefits are available for this posting.

This position requires being onsite 3 days a week.

**Please provide a Cover letter and a Link to your personal website, URL and GitHub in your application **.

#ComputationCoE

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants .