1,393 Drug Discovery jobs in the United States

• Design, plan, and execute laboratory experiments independently and collaboratively, utilizing a variety of techniques in molecular biology, cell biology, biochemistry, or pharmacology.
• Perform assays for target validation, compound screening, mechanism of action studies, and lead optimization.
• Analyze, interpret, and present experimental data clearly and concisely to project teams and colleagues.
• Maintain accurate and detailed laboratory notebooks and experimental records.
• Troubleshoot experimental challenges and optimize protocols to improve efficiency and reproducibility.
• Prepare reagents, maintain cell lines, and manage laboratory supplies and equipment.
• Operate and maintain specialized laboratory instruments and ensure their calibration.
• Contribute to scientific discussions, brainstorming sessions, and project team meetings.
• Stay current with scientific literature and industry advancements relevant to drug discovery.
• Adhere strictly to laboratory safety protocols and good laboratory practices (GLP).
• Collaborate effectively with multidisciplinary teams, including chemists, biologists, and computational scientists.
• Assist in the preparation of technical reports, presentations, and patent applications.

• Bachelor's or Master's degree in Biology, Biochemistry, Molecular Biology, Pharmacology, or a related life science discipline.
• Minimum of 2-4 years of hands-on laboratory experience in an academic or industry setting, specifically within drug discovery or pharmaceutical research.
• Proficiency in a range of laboratory techniques, such as cell culture, Western blotting, ELISA, qPCR, flow cytometry, or other relevant assays.
• Strong understanding of experimental design, data analysis, and scientific principles.
• Experience with data analysis software (e.g., GraphPad Prism, Excel).
• Excellent communication skills, both written and verbal, for presenting scientific data.
• Detail-oriented, highly organized, and capable of managing multiple tasks simultaneously.
• Ability to work independently and as part of a collaborative team.
• Strong problem-solving skills and intellectual curiosity.
• Prior experience with compound screening or drug candidate characterization is a plus.

Location: San Diego, Southern CA / Home OfficeCompensation: Competitive pay; base, bonus, and incentivesWe are excited to announce an opportunity for a dynamic Business Development Manager to join a premier organization in the field of drug discovery. This position involves a strategic role in driving business growth, specifically focusing on Integrated Drug Discovery (IDD) opportunities. You will collaborate with a robust scientific team and manage both new and existing accounts.The company boasts over 40 years of industry presence with a diverse range of services and a strong client base. It has experienced rapid growth through both acquisition and organic development. With a global footprint, the organization employs 1,000 professionals across nine locations worldwide, including the UK, France, Taiwan, Spain, and the USA.Key Responsibilities:Achieve corporate growth objectives in the designated territory by leveraging a comprehensive drug discovery service and product portfolio.Possess and apply a global understanding of the drug discovery and development process, offering a wide array of services including synthetic chemistry, scale-up, and computational design.Understand and navigate the academic, biotech, and pharmaceutical markets to identify and capitalize on business opportunities.Operate independently and collaboratively, providing leadership and mentorship within the commercial team.Oversee territory management, including sales forecasting and strategy implementation.Support and drive sales efforts for all drug discovery services.Qualifications:Bachelor's, Master's, or PhD in Biology, Biochemistry, Biotechnology, or a related field is required.A minimum of 3 years of experience in sales within drug discovery, or hands-on experience with a desire to transition into a sales role.Strong expertise in synthetic and medicinal chemistry, along with pharmaceutical development.This is an exceptional opportunity to join a renowned organization with extensive service offerings and a strong scientific team. If you are motivated to drive business success and thrive in a customer-facing role, we encourage you to apply.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at no-style="text-align:left;">Job Function:

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Johnson & Johnson is recruiting for a Postdoctoral Scholar, Neuropsychiatry to join our Neuroscience Discovery group based in San Diego, CA, USA.

The successful candidate will lead efforts in conducting in vitro and ex vivo neuropharmacology studies to support Johnson & Johnson’s Neuropsychiatry Portfolio. The candidate will perform molecular and cellular biology experiments and use induced pluripotent stem cell-derived multicellular cultures, primary cell cultures, rodent tissues, and other disease-relevant preclinical models to study the dysregulation of excitatory and inhibitory neurotransmission as it relates to neuropsychiatric disorders. They will spend a majority of their time in the lab in these efforts, generating high quality results that will be essential in progressing our understanding of pathophysiology of selected neuropsychiatric disorders as well as progressing potential new drug candidate for their treatment.  

Major Duties & Responsibilities:

• Successfully designs and performs experiments, spending most of the time on lab work. 

• Accurately interpret complex datasets and effectively communicate results. 

• Integrates Johnson & Johnson’s Credo and Leadership Imperatives into team goals and decision-making. 

• Enters, reviews, and audits all information obtained in experiments to ensure that it is recorded and retained according to established procedures.

• Development, training, conferences, internal meetings & symposia 

Required Qualifications:

• PhD; Neuroscience

• Required Years of Related Experience: 0-1 

• Strong background in Neuroscience required; background in Neuropsychiatry and/or Drug Discovery preferred 

• Proficiency with a variety of molecular biology techniques, in vitro/ex vivo imaging techniques (immunohistochemistry, fluorescent in situ hybridization.). Rodent central nervous system tissue extraction experience preferred. 

• Hands on experience in culturing and differentiating human iPSCs derived neurons. 

• Accurate interpretation of data and strong analytical skills. 

• Excellent planning and organizational skills. Creative and strategic thinking. Good communication, presentation, and scientific writing skills. Collaborative mindset, teamwork oriented. 

• Proactively create a purpose driven environment by aligning J&J’s Credo and Leadership imperatives 

• Proficient in Microsoft Office Word, Excel and PowerPoint. Additional knowledge in statistical software such as GraphPad Prism is preferred. 

The anticipated base pay range for this position is $77,000 to $124,200.

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis.

• Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

• Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

• This position is eligible to participate in the Company’s long-term incentive program.

• Employees are eligible for the following time off benefits:

  • Vacation – up to 120 hours per calendar year

  • Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year

  • Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year

• Additional information can be found via the following link:

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center ( ) or contact AskGS to be directed to your accommodation resource.

General Proximity is a seed-stage startup developing the next generation of induced proximity medicines (IPMs). Our OmniTAC drug discovery engine furnishes molecules that co-opt existing cellular machinery to overcome therapeutic challenges, which have remained unapproachable to other modalities for decades.

We are seeking a first-rate Vice President, Drug Discovery & Development to help us pioneer this uncharted frontier of drug discovery.

A long-standing challenge in drug discovery is the development of molecules capable of modulating difficult or undruggable targets. Disease-causing proteins can be dysfunctional in many different ways, but our armamentarium for fixing them is quite limited. The most common mechanism of action for FDA-approved drugs is inhibition(1) , but there are many other possible perturbation types whose potential remains unrealized.

General Proximity is a seed-stage drug discovery company developing a novel platform technology to solve this problem. We make bifunctional drugs that induce the modification of drug targets by existing cellular machinery (rather than through direct modulation by the drug, the classical approach).

Historically, the development of technologies that allow one to push new buttons in biology has been an incredibly fertile field for the discovery of new medicines(2 , 3 , 4 ), and our technology holds the same promise.

We are seeking an experienced Vice President, Drug Discovery & Development to help lead our Chemistry/Drug Discovery Team. You will be responsible for providing leadership, research, development strategy, and expertise for our small-molecule drug discovery efforts to help advance best and first-in-class product from discovery into the clinic.

High Agency. Initiative, independence, and self-accountability are some of our most valued traits.

Enthusiastic. We love people who are excited about what they are doing and are generally attempting to build a high-energy team.

Intensity and Grit. Early-stage startups are hard. Drug discovery is doubly so. We are looking for candidates who have a demonstrated ability to stick with complex problems for the long haul, with a team that has your back along the way.

Prosocial. We are here to create life-saving medicines for the patients who need it most. You should be, too.

• PhD in Chemical Biology, Medicinal Chemistry, Pharmacology, or related field.
• 15+ years of drug discovery experience in industry.
• Proven track record of success in drug discovery programs and deep understanding of small-molecule drug discovery and its relationship to human disease.
• Involvement in 5+ discovery to IND-stage programs with a leadership role in at least 2.
• Expertise in small-molecule cancer drug discovery and development.
• Exceptional leadership, interpersonal, and communication skills, with a track record of building and managing high-performing, multidisciplinary teams.
  
  
• Strong experience with:
• Advancing drugs against novel targets from target validation through IND-enabling studies in diverse therapeutic areas and working on teams that have successfully advanced programs to the clinic
• Small-molecule drug discovery disciplines, including lead discovery, medicinal chemistry, cell biology, pharmacology, DMPK, safety assessment, and CMC
• Preclinical PK/PD/efficacy relationships and their clinical translation
• Collaborating with regulatory, CMC, and clinical groups to develop strategic regulatory paths for approval
• Collaborating with external CROs, academic partners, and other organizations to accelerate discovery and development efforts
• Overseeing a portfolio of drug discovery programs, ensuring timely and robust preclinical activities that enable compliant IND submissions and establish clear development paths
• Regulatory processes relevant to IND submissions
• Recruiting, mentoring, and developing a high-performing team of scientists
• Planning and maintaining budgets
  
  
• Nice to have:
• Experience discovering and developing PROTAC/molecular glue/next-gen induced proximity medicine (IPM) technologies
• Strong knowledge of the regulatory and competitive landscape of PROTAC/molecular glue/next-gen IPMs
• Working knowledge and participation in CMC activities
• Strong equity incentives. We are looking for candidates who will bring a strong sense of ownership to drive their project areas forward, and we believe that you deserve to be compensated accordingly.
• Top tier medical, dental, and vision coverage + One Medical membership.
• Education and health/fitness incentive programs.
• Meditation retreats—do a ten-day Vipassana retreat without counting towards vacation days.
• Reading budget! We will buy you books.
• Located in the MBC BioLabs at 135 Mississippi Street, an entrepreneurial hub full of the best scientists and operators the Bay Area has to offer. Our lab is a very short walk from the 22nd St Caltrain Station and a number of wonderful restaurants and cafés.

Work Hard/Play Hard. We believe time is our most valuable commodity, so we strive to create a culture that reflects this. We won’t drag you through unnecessary meetings or email you at 7 PM on a Saturday. When we're at work, we're there to get things done, and when we're off, we're really off.

Strong Communication. We like well-written documents over PowerPoints, OKRs over vague mission statements, and weekly one-on-ones over yearly reviews.

Writing First. We have a writing-first culture. We believe that clarity of writing reflects clarity of thinking and that the benefits of well-written documentation in a scientific environment are innumerable: democratization of ideation and decision-making, increased reproducibility, quicker scaling and onboarding, and better company-wide alignment, to name a few.

Growth. As an early-stage startup, we value scientists with an independent, can-do attitude. The more hats you can wear, the better. Our job as employers is to put you in positive feedback loops so you can grow in the direction of your choosing.

Title and compensation commensurate with experience. Applications from candidates of diverse backgrounds, women, and members of underrepresented minority groups are particularly welcomed. We look forward to hearing from you. :)

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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 Genentech, a Member of the Roche Group.

The Opportunity

Prescient Design is developing cutting-edge machine learning for drug discovery, building new methods, techniques, and systems to fundamentally transform how drugs are designed. We are looking for exceptional, experienced machine learning scientists who want to perform high-quality research at the intersection of machine learning and biology that has a direct impact on large molecule drug discovery. The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research, including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) partners and research units. Our mission is to develop and apply methods in designing novel macromolecules. Researchers will primarily focus on the deep learning subfield of machine learning, but should be broadly interested in methods capable of effective representation learning that can help drive and sharpen the research questions we study.

In this role, you will:

• Develop novel machine learning methods to answer challenging research questions in large molecule drug discovery

• Work with biological data from heterogenous sources

• Contribute to and ultimately lead cross-functional teams across gRED to solve complex problems in structural and computational biology

• Drive publications and present scientific findings at internal/external venues

• Solve real, pressing problems in drug discovery that enable new portfolio capabilities

Who you are for the Principal Scientist level

• Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, or related disciplines, ideally with 5+ years of industry research experience, or MS degree in the above disciplines ideally with 8+ years of industry research experience.

• Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc.

• Evidence of scientific independence and accomplishments, including the ability to initiate, develop, and conclude complex projects

• Strong programming skills in languages like C/C++, Python, Java, Scala, or Go.

• Experience with one or more of the following: PyTorch, TensorFlow, JAX.

• Intense curiosity about the biology of disease and the biophysics of molecular recognition

Who you are for the Senior Scientist level:

• Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, or related disciplines, ideally with 0-2 years of industry research experience, or MS degree in the above disciplines ideally with 3-5 years of industry research experience.

• Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc.

• Evidence of scientific independence and accomplishments, including the ability to initiate, develop, and conclude complex projects

• Strong programming skills in languages like C/C++, Python, Java, Scala, or Go.

• Experience with one or more of the following: PyTorch, TensorFlow, JAX.

• Intense curiosity about the biology of disease and the biophysics of molecular recognition

#gCS

#tech4lifeAI

Relocation benefits are available for this job posting

The expected salary range for the Principal Scientist, based on the location of California, is $194,000 - 360,400 or for the location of New York is $85,600 - 344600 of hiring range, and for the Senior Scientist based on the location of California, is 167.400 - 310,800 or for the location of New York is 160,100 - 297.300. 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.

Benefit

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.

The Position 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 Genentech, a Member of the Roche Group. The Opportunity Prescient Design is developing cutting-edge machine learning for drug discovery, building new methods, techniques, and systems to fundamentally transform how drugs are designed. We are looking for exceptional, experienced machine learning scientists who want to perform high-quality research at the intersection of machine learning and biology that has a direct impact on large molecule drug discovery. The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research, including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) partners and research units. Our mission is to develop and apply methods in designing novel macromolecules. Researchers will primarily focus on the deep learning subfield of machine learning, but should be broadly interested in methods capable of effective representation learning that can help drive and sharpen the research questions we study. In this role, you will: Develop novel machine learning methods to answer challenging research questions in large molecule drug discovery Work with biological data from heterogenous sources Contribute to and ultimately lead cross-functional teams across gRED to solve complex problems in structural and computational biology Drive publications and present scientific findings at internal/external venues Solve real, pressing problems in drug discovery that enable new portfolio capabilities Who you are for the Principal Scientist level Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, or related disciplines, ideally with 5+ years of industry research experience, or MS degree in the above disciplines ideally with 8+ years of industry research experience. Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc. Evidence of scientific independence and accomplishments, including the ability to initiate, develop, and conclude complex projects Strong programming skills in languages like C/C++, Python, Java, Scala, or Go. Experience with one or more of the following: PyTorch, TensorFlow, JAX. Intense curiosity about the biology of disease and the biophysics of molecular recognition Who you are for the Senior Scientist level: Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, or related disciplines, ideally with 0-2 years of industry research experience, or MS degree in the above disciplines ideally with 3-5 years of industry research experience. Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc. Evidence of scientific independence and accomplishments, including the ability to initiate, develop, and conclude complex projects Strong programming skills in languages like C/C++, Python, Java, Scala, or Go. Experience with one or more of the following: PyTorch, TensorFlow, JAX. Intense curiosity about the biology of disease and the biophysics of molecular recognition #gCS #tech4lifeAI Relocation benefits are available for this job posting The expected salary range for the Principal Scientist, based on the location of California, is $194,000 - 360,400 or for the location of New York is $85,600 - 344600 of hiring range, and for the Senior Scientist based on the location of California, is 167.400 - 310,800 or for the location of New York is 160,100 - 297.300. 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. Benefit 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. #J-18808-Ljbffr

Coders Connect is collaborating with a cutting-edge biotech startup redefining how foundational biology meets AI. Their mission? Train multimodal foundation models from real human biological data to revolutionize drug discovery.

We’re seeking a Senior Machine Learning Scientist with a deep interest in applying state-of-the-art ML techniques—like transformers and diffusion models—to problems at the frontier of computational biology.

Design and develop multimodal foundation models for gene regulation and drug response

Integrate chemical structure, protein sequences, and single-cell transcriptomics into unified models

Adopt and implement latest advances in deep learning (e.g., self-supervised learning, FSDP, dMoE)

Work in cross-functional teams with biologists, engineers, and data scientists

Drive hypothesis generation using ML and contribute to novel biological insights

PhD or equivalent practical experience in a technical/ML-focused field

Proven experience with deep learning (transformers, GNNs, SSMs, diffusion models, etc.)

Strong skills in PyTorch, JAX, or TensorFlow, and scientific libraries like NumPy, Pandas

Motivation to apply ML to real-world biological or chemical datasets

Bias toward rapid prototyping and practical outcomes

Prior work in computational biology or drug discovery

Experience with contrastive/multimodal/self-supervised learning

Familiarity with large-scale distributed training and GPU optimizations

Python, PyTorch/JAX/TensorFlow

Large-scale ML toolkits (e.g., flash attention, FSDP)

Transcriptomics, protein sequence data, chemical structure modeling

Machine Learning Engineer, AI/ML for Drug Discovery Join to apply for the Machine Learning Engineer, AI/ML for Drug Discovery role at Atomwise Machine Learning Engineer, AI/ML for Drug Discovery Join to apply for the Machine Learning Engineer, AI/ML for Drug Discovery role at Atomwise About Atomwise: Atomwise is a TechBio company leveraging AI/ML to revolutionize small molecule drug discovery. The Atomwise team invented the use of deep learning for structure-based drug design; a core technology of Atomwise's best-in-class AI discovery and optimization engine, which is differentiated by its ability to find and optimize novel chemical matter. The company's belief is that structurally novel chemical matter increases the likelihood of developing first-in-class and best-in-class medicines that have the potential to transform patient care. About Atomwise: Atomwise is a TechBio company leveraging AI/ML to revolutionize small molecule drug discovery. The Atomwise team invented the use of deep learning for structure-based drug design; a core technology of Atomwise's best-in-class AI discovery and optimization engine, which is differentiated by its ability to find and optimize novel chemical matter. The company's belief is that structurally novel chemical matter increases the likelihood of developing first-in-class and best-in-class medicines that have the potential to transform patient care. Atomwise has extensively tested its discovery and optimization engine, delivering hit ID success in over 230 academic and collaboration projects-to-date that cover a wide breadth of protein classes and numerous "hard-to-drug" targets. Atomwise is building a pipeline of small-molecule drug candidates with first-in-class and best-in-class potential in immunology. The Role: We seek a highly motivated and creative Machine Learning Engineer to join our growing team. You will be at the forefront of developing and applying advanced machine-learning models to accelerate the discovery of novel therapeutics. Your work will directly impact the development of innovative AI-driven drug discovery platforms. This role offers the opportunity to work on challenging problems at the intersection of machine learning, chemistry, and biology, with access to extensive datasets and state-of-the-art computational resources. Responsibilities: Productionize novel deep learning tools for molecular property prediction, design and optimization, and virtual screening. Design and execute experiments to evaluate the performance of experimental models and improve training and inference time/cost. Conduct in-depth analyses of model outputs and performance metrics to identify areas for improvement. Collaborate with cross-functional teams of software engineers, chemists and biologists to integrate ML models into drug discovery pipelines. Stay up-to-date with the latest advancements in machine learning and computational chemistry, and integrate them into Atomwise ML models. Maintain and extend our scalable and efficient machine learning frameworks for at-scale use by drug discovery teams. Qualifications: Masters or higher in Computer Science, Machine Learning, Computational Chemistry, or a related field. Two or more years of industry experience in productionizing machine learning models for distributed training and inference. Proficiency in designing and implementing novel machine learning frameworks in PyTorch. Strong problem-solving and analytical skills, with a demonstrated ability to conduct independent research. Experience with collaborative software engineering and developing high quality, maintainable, well-documented code in a large codebase. Experience with machine learning models of chemical systems is preferred. Familiarity with cheminformatics tools and libraries (e.g., RDKit) is a plus. Compensation & Benefits Competitive salary, commensurate with experience Stock compensation plan – you'll be an Atomwise co-owner Platinum health, dental, and vision benefits for you and your dependents 401(k) retirement plan with generous company match (up to 4%) Flexible paid time off (PTO), 13 paid holidays, and wellness breaks for employees to spend time with their loved ones and recharge Health Savings and Flexible Spending Account options to help save money on healthcare, daycare, and commuting Employee Assistance Program (EAP) and Pet Insurance Funding for professional development and conference attendance Flexible work schedule Generous paid parental leave Atomwise is an equal opportunity employer and strives to foster an inclusive workplace. We are a TechBio company leveraging AI/ML to revolutionize small-molecule drug discovery, and we know that we need a diverse team to develop medicines that serve diverse populations. Accordingly, Atomwise does not make any employment decisions (including but not limited to, hiring, compensation, and promotions) on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, veteran status, disability status, or any other characteristics protected by applicable federal, state, and local law. We strongly encourage people of diverse backgrounds and perspectives to apply. The base salary for this position is $175,000- $60,000. Pay is determined by multiple factors including, but not limited to, a candidate's geographical location, experience and skills. We're considering all levels of experience for this position. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Referrals increase your chances of interviewing at Atomwise by 2x Get notified about new Machine Learning Engineer jobs in San Francisco, CA . 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