32 Computational Biology jobs in the United States

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**Job Description**
**_Objective_**
The purpose of this position is to deliver on the priorities of Global Biologics research and Biologics Engineering and Antibody Discovery organization by contributing to the discovery, optimization, and engineering of the antibody and CAR-T cells by deep mining repertoire of therapeutic antibodies using NGS to accelerate programs to IND.
**_Accountabilities:_**
+ Develop and implement robust pipelines for analyzing large-scale bulk and single B-cell sequencing datasets for biologics discovery workflows, including QC, annotation, prioritization, and reporting of heavy and light chain/VHH sequences.
+ Improve antibody screening and in silico analysis workflows by implementing standard automated protocols for the antibody curation, annotation, and interpretation of large antibody-specific datasets
+ Lead the biologics discovery campaigns using well-designed, and optimized bioinformatics workflows to accelerate therapeutic discovery by analyzing sequencing datasets from various sources, such as immunization and selection campaigns.
+ Propose a rationale library design strategy based on the antibody selection output to further affinity mature and optimize biologics.
+ Advance antibody sequences from _in vitro (_ yeast and phage _),_ _in vivo_ (single/bulk B cells/VHH) or _de novo_ (AI-based) platforms with the goal to deeply interrogate repertoires, expand functional sequence diversit,y and affinity to accelerate the lead discovery.
+ Collaborate with cross-functional teams to integrate sequencing data with other data generated from antibody discovery engine
+ Ability to use AWS and HCP infrastructure for additional compute needs
+ Use Docker and GitHub for reproducibility of workflow and version control, respectively
+ Develop UI to seamlessly integrate flow of sequencing data from various discovery platforms and relevant information
+ Meet established timelines, maintain accurate records of work, and present data at team, departmental, and company-wide meetings
**_Education & Competencies (Technical and Behavioral):_**
+ Education: BS, MS, or PhD in a relevant scientific field
+ Experience: If BS, then 11+ years. If MS, then 9+ years. If PhD, then 2-3 years of previous work experience
+ A strong background in computational biology and scientific programming languages (R/Python)
+ In-depth experience analyzing NGS data, including B-cell receptor and antibody repertoire sequencing data and selection data from antibody surface display
+ Deep overall understanding of in vivo and in vitro antibody discovery platforms
+ Minimum 2 years of industry experience in hands-on NGS data analysis (RNAseq /scRNAseq) utilizing custom workflows and pipelines.
+ Demonstrated ability to write, test, automate, and benchmark computational pipeline tools with a focus towards biologics discovery.
+ Experience with AI/ML and deep learning-based methodology is a plus.
**Takeda Compensation and Benefits Summary**
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
**For Location:**
Boston, MA
**U.S. Base Salary Range:**
$111,800.00 - $175,670.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
**EEO Statement**
_Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law._
**Locations**
Boston, MA
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
**Job Exempt**
Yes
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Our client is seeking a highly accomplished Principal Scientist in Computational Biology to lead advanced research initiatives. This is a fully remote position, offering the flexibility to work from anywhere in the US. You will be responsible for developing and implementing cutting-edge computational and statistical methods to analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics data. The ideal candidate will have a Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field, with a minimum of 8-10 years of experience in biological data analysis and interpretation. Proven expertise in programming languages such as Python or R, along with experience in machine learning, statistical modeling, and big data analysis, is crucial. You will collaborate closely with experimental biologists and clinicians to design studies, interpret results, and drive research forward. Key responsibilities include building predictive models, developing novel algorithms, visualizing complex data, and contributing to scientific publications and grant proposals. Experience with cloud computing platforms (AWS, GCP) and high-performance computing environments is highly desirable. Strong communication and presentation skills are essential for conveying complex findings to both technical and non-technical audiences. This role requires a self-motivated individual with a strong scientific curiosity, excellent problem-solving skills, and the ability to lead research projects in a fully remote, collaborative setting. If you are passionate about leveraging computational approaches to unravel biological complexity and advance scientific discovery, we encourage you to apply.

Our client, a cutting-edge biotechnology firm dedicated to advancing human health through innovative research, is seeking a distinguished Principal Scientist in Computational Biology to join their esteemed R&D team in Dallas, Texas, US . This senior role will spearhead the development and application of advanced computational approaches to analyze complex biological datasets, including genomics, proteomics, and transcriptomics, to uncover novel therapeutic targets and understand disease mechanisms. You will lead a team of computational biologists and bioinformaticians, mentor junior scientists, and collaborate closely with experimental biologists, clinicians, and data scientists. The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field, coupled with extensive experience in developing and implementing sophisticated algorithms, statistical models, and machine learning techniques for biological data analysis. Responsibilities include designing research strategies, interpreting results, contributing to scientific publications and patent filings, and presenting findings at international conferences. A deep understanding of biological pathways, disease models, and drug discovery processes is crucial. This position offers a unique opportunity to make a significant impact on the future of precision medicine.

Responsibilities:

• Lead computational biology research initiatives in genomics, proteomics, and transcriptomics.
• Develop and apply advanced algorithms, statistical models, and machine learning for biological data analysis.
• Interpret complex biological datasets to identify therapeutic targets and biomarkers.
• Mentor and guide a team of computational biologists and bioinformaticians.
• Collaborate with cross-functional research teams, including experimental biologists and clinicians.
• Design and execute computational experiments and analyses.
• Contribute to scientific publications, presentations, and intellectual property development.
• Stay at the forefront of advancements in computational biology, bioinformatics, and AI in life sciences.

Qualifications:

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• 10+ years of progressive experience in computational biology research, preferably in the biotech or pharmaceutical industry.
• Demonstrated expertise in statistical analysis, machine learning, and programming languages (e.g., Python, R, C++).
• Proven experience in analyzing large-scale biological datasets (genomics, transcriptomics, proteomics).
• Strong understanding of molecular biology, genetics, and disease mechanisms.
• Excellent leadership, communication, and project management skills.
• Track record of publications in peer-reviewed journals and conference presentations.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

Our client, a leader in cutting-edge scientific innovation located in Milwaukee, Wisconsin, US , is actively seeking a highly skilled and motivated Principal Scientist specializing in Computational Biology. This senior role is crucial for advancing our understanding of complex biological systems through sophisticated data analysis and modeling. You will play a key role in integrating diverse datasets, including genomics, transcriptomics, proteomics, and clinical data, to uncover novel biological insights and identify therapeutic targets.

The ideal candidate will possess a deep understanding of statistical methods, machine learning algorithms, and bioinformatics tools relevant to biological research. You will be responsible for developing and implementing computational strategies to analyze large-scale biological data, driving our research and development efforts forward. This position offers an exciting opportunity to contribute to groundbreaking scientific discoveries in a collaborative and dynamic environment.

Key responsibilities include:

• Developing and applying advanced computational and statistical methods to analyze large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
• Designing and implementing machine learning models for biomarker discovery and patient stratification.
• Building predictive models for drug response and efficacy.
• Collaborating with experimental biologists and clinicians to interpret results and generate testable hypotheses.
• Developing custom bioinformatics pipelines and software tools for data analysis.
• Staying abreast of the latest advancements in computational biology, bioinformatics, and data science.
• Presenting findings at scientific conferences and contributing to publications in peer-reviewed journals.
• Mentoring junior computational biologists and bioinformaticians.
• Managing computational biology projects and ensuring efficient use of resources.
• Ensuring data integrity and security for all analyzed datasets.

Qualifications:

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 8 years of relevant experience in computational biology or bioinformatics research.
• Strong proficiency in programming languages such as Python, R, and/or Perl.
• Extensive experience with bioinformatics tools, databases, and algorithms.
• Expertise in statistical analysis and machine learning techniques applied to biological data.
• Proven experience with high-performance computing environments.
• Excellent problem-solving and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences.
• Demonstrated track record of scientific publications and presentations.

A groundbreaking biomedical research institution in Dallas, Texas, US is seeking a highly accomplished Principal Scientist in Computational Biology to lead cutting-edge research efforts. This role is central to deciphering complex biological datasets, developing novel computational methodologies, and driving scientific discovery in areas such as genomics, proteomics, and systems biology. You will be at the forefront of translating massive biological data into actionable insights, contributing to advancements in disease understanding and therapeutic development. This position offers a unique opportunity to shape the direction of computational biology research within a collaborative and state-of-the-art facility.

Responsibilities:

• Lead the design and execution of computational biology projects, from data acquisition and analysis to interpretation and reporting.
• Develop and implement advanced statistical and machine learning models to analyze large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
• Collaborate closely with experimental biologists, clinicians, and other researchers to define research questions and integrate computational approaches.
• Design and build robust bioinformatics pipelines for data processing, quality control, and analysis.
• Develop novel algorithms and software tools to address specific biological challenges.
• Interpret complex results, identify key findings, and communicate them effectively to both technical and non-technical audiences through presentations and publications.
• Mentor and guide junior scientists and research staff in computational biology methods.
• Stay abreast of the latest research trends, technologies, and methodologies in computational biology, bioinformatics, and related fields.
• Contribute to grant writing and secure external funding for research projects.
• Manage computational resources and ensure data integrity and security.
• Represent the institution at scientific conferences and foster collaborations with external partners.

Qualifications:

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a closely related quantitative field.
• 10+ years of experience in computational biology or bioinformatics, with a proven track record of impactful research and publications.
• Expertise in statistical modeling, machine learning, and data mining techniques applied to biological data.
• Proficiency in programming languages such as Python, R, and Perl, and experience with relevant scientific libraries (e.g., NumPy, SciPy, scikit-learn).
• Strong experience with various biological databases and public repositories (e.g., NCBI, Ensembl, PDB).
• Demonstrated experience in analyzing high-throughput sequencing data (e.g., RNA-Seq, WGS, ChIP-Seq).
• Excellent understanding of molecular biology, genetics, and cellular processes.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to effectively collaborate in a multidisciplinary team environment.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.

This is a senior-level position offering significant scientific autonomy and the chance to make a profound impact on human health through advanced computational research.

Our client, a groundbreaking scientific research and development organization, is seeking a highly accomplished Principal Scientist, Computational Biology to spearhead innovative projects within their advanced research division. This pivotal role, contributing remotely, requires a visionary leader with profound expertise in bioinformatics, genomics, and advanced computational methodologies. You will be instrumental in designing and executing cutting-edge research, analyzing complex biological datasets, and driving scientific discovery that has the potential to revolutionize our understanding of disease and develop novel therapeutic strategies.

Key Responsibilities:

• Lead the design and implementation of computational biology research projects, from hypothesis generation to data analysis and interpretation.
• Develop and apply advanced algorithms and statistical models to analyze large-scale biological datasets, including genomics, transcriptomics, proteomics, and metabolomics.
• Collaborate with experimental biologists, geneticists, and clinicians to integrate computational findings with biological hypotheses and experimental results.
• Build and maintain robust data pipelines and workflows for efficient processing and analysis of diverse biological data.
• Stay at the forefront of scientific literature, identifying emerging technologies and methodologies relevant to the field.
• Mentor and guide junior scientists and research associates, fostering a collaborative and intellectually stimulating research environment.
• Present research findings at international conferences and publish in high-impact peer-reviewed journals.
  
  Qualifications:
  • Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
  • 10+ years of postdoctoral and/or industry experience in computational biology or bioinformatics, with a significant portion in a leadership or principal investigator role.
  • Demonstrated expertise in statistical analysis, machine learning, and data mining applied to biological data.
  • Proficiency in programming languages such as Python, R, and shell scripting, and experience with relevant scientific libraries and frameworks.
  • Experience with high-performance computing (HPC) environments and cloud computing platforms.
  • Strong understanding of molecular biology, genetics, and genomics is essential.
  • Proven track record of scientific innovation, publication, and grant writing.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary team.
  This is a unique opportunity to make a significant impact on scientific advancement and patient outcomes, offering a competitive salary, exceptional benefits, and the flexibility of a remote position. Join a team dedicated to pushing the boundaries of science.

Our client is at the forefront of scientific discovery and is seeking a highly accomplished Principal Research Scientist specializing in Computational Biology. This is a fully remote position, enabling you to contribute to groundbreaking research from anywhere in the US. You will lead cutting-edge research projects, leveraging advanced computational methods and biological data to unravel complex biological questions. Your responsibilities will include developing and implementing novel algorithms for analyzing large-scale omics data (genomics, transcriptomics, proteomics), designing computational strategies for drug discovery and development, and building predictive models for biological processes. You will collaborate closely with experimental biologists, geneticists, and clinicians to translate computational findings into biological insights and therapeutic strategies. The ideal candidate will have a deep expertise in bioinformatics, statistical genetics, machine learning, and programming languages such as Python, R, and Julia. Experience with high-performance computing environments and cloud-based data analysis platforms is essential. You will guide and mentor junior researchers, contribute to scientific publications, and present findings at international conferences. A proven track record of innovation, a strong publication record, and the ability to secure external funding are highly desirable. This role demands exceptional analytical, problem-solving, and critical thinking skills, along with a passion for advancing biological understanding through computational approaches. You will be instrumental in shaping the research direction and fostering a collaborative, interdisciplinary research environment. This remote role requires excellent communication and collaboration skills to effectively engage with a global, distributed research team.

Responsibilities:

• Lead computational biology research projects.
• Analyze large-scale omics data (genomics, transcriptomics, proteomics).
• Develop and implement novel algorithms and computational methods.
• Build predictive models for biological systems.
• Collaborate with experimental scientists and clinicians.
• Publish research findings in high-impact journals.
• Present research at scientific conferences.
• Mentor junior research staff.
• Contribute to grant writing and securing funding.

Qualifications:

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
• 8+ years of experience in computational biology research, with a focus on omics data analysis.
• Proven expertise in algorithm development, statistical modeling, and machine learning.
• Proficiency in programming languages like Python, R, and Julia.
• Experience with high-performance computing (HPC) and cloud platforms.
• Strong understanding of biological principles and experimental design.
• Excellent scientific writing and presentation skills.
• Demonstrated ability to lead research projects and mentor teams.
• Strong publication record in peer-reviewed journals.

A world-renowned research institute located in the vibrant scientific hub of Los Angeles, California, US , is seeking an accomplished Senior Research Scientist specializing in Computational Biology. This pivotal role will drive the analysis and interpretation of large-scale biological datasets, including genomics, transcriptomics, and proteomics, to uncover novel insights and accelerate drug discovery and development. The ideal candidate will possess a strong foundation in biology coupled with advanced computational and statistical skills. Responsibilities include developing and implementing bioinformatics pipelines, performing complex data analysis using machine learning and statistical modeling, visualizing and interpreting results, and collaborating with experimental biologists to design and execute studies. You will also contribute to the development of novel algorithms and tools, mentor junior bioinformaticians and data scientists, and contribute to publications and grant proposals. A Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field is required, with a minimum of 6 years of relevant experience in biological data analysis. Proven expertise in programming languages such as Python or R, familiarity with relevant bioinformatics databases and software (e.g., BLAST, IGV, GATK), and experience with cloud computing platforms (AWS, GCP) are essential. A strong understanding of biological systems and disease mechanisms is highly desirable. Excellent problem-solving abilities, strong communication and presentation skills, and the capacity to work effectively in a collaborative, interdisciplinary environment are critical. This is an exceptional opportunity to work on challenging, high-impact projects at the cutting edge of biological research and make significant contributions to advancing human health. The institute offers a competitive salary, excellent benefits, and extensive professional development opportunities.

Our client, a leading research institution, is seeking a highly skilled Senior Research Scientist specializing in Computational Biology to join their cutting-edge team in Provo, Utah, US . This vital role will focus on developing and applying advanced computational methods to analyze complex biological datasets, contributing to groundbreaking discoveries in areas such as genomics, proteomics, and systems biology. The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a closely related quantitative field, coupled with extensive experience in statistical analysis, machine learning, and bioinformatics tool development. Key responsibilities include designing and executing computational experiments, analyzing large-scale biological data (e.g., next-generation sequencing data), developing novel algorithms and software tools, and interpreting results to answer fundamental biological questions. You will collaborate closely with experimental biologists, providing computational support and expertise to drive research projects forward. This position requires strong programming skills (Python, R, Perl), familiarity with high-performance computing environments, and a deep understanding of biological principles. Excellent communication and presentation skills are essential for disseminating findings through publications and conference presentations. A minimum of 5 years of postdoctoral or industry research experience is required. If you are passionate about leveraging computational approaches to unravel biological complexity and eager to contribute to impactful scientific advancements, we encourage you to apply.

Responsibilities:

• Design, develop, and implement computational and statistical methods for analyzing large-scale biological data.
• Analyze genomic, transcriptomic, proteomic, and other omics datasets.
• Develop novel algorithms and bioinformatics tools to address specific research questions.
• Collaborate with experimental biologists to design studies and interpret results.
• Interpret findings and present results at scientific meetings and through publications.
• Manage and maintain bioinformatics databases and pipelines.
• Stay abreast of the latest advancements in computational biology and bioinformatics.
• Provide computational support and guidance to research teams.
• Develop reproducible workflows and ensure data integrity.
• Contribute to grant writing and securing research funding.
• Mentor junior researchers and postdoctoral fellows.
• Ensure compliance with data privacy and security regulations.

Qualifications:

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of postdoctoral or industry research experience in computational biology/bioinformatics.
• Strong programming skills in Python, R, Perl, or similar languages.
• Expertise in statistical analysis and machine learning techniques.
• Experience with next-generation sequencing (NGS) data analysis.
• Familiarity with high-performance computing (HPC) environments.
• Knowledge of biological databases and ontologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with a proven publication record.
• Ability to work independently and collaboratively in a research team environment.