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In Drug Discovery Jobs (NOW HIRING)

Relay Therapeutics

VP, Head of Drug Discovery

Cambridge, MA · On-site

$230K - $328K/yr

The successful candidate will be a recognized leader in small molecule drug discovery with a proven track record of advancing programs from hit identification through IND filing. They will be a key ...

Aclaris Therapeutics, Inc.

Scientist

Saint Louis, MO · On-site

In this position, you will participate in both internal or contract drug discovery and biological research, addressing complex scientific questions in a fluid team environment. Efficient and ...

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How much do in drug discovery jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for in drug discovery in the United States is $61.42, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $73.80 per hour, depending on experience, location, and employer.

What is the difference between In Drug Discovery vs In Pharmacology?

AspectIn Drug DiscoveryIn Pharmacology
Required CredentialsBachelor's or Master's in Chemistry, Biology, or related fields; lab experienceBachelor's or Master's in Pharmacology, Biology, or related fields; research experience
Work EnvironmentLaboratories, research facilities, collaborative teamsLaboratories, clinical settings, research institutions
Employer & Industry UsagePharmaceutical companies, biotech firms, research institutesPharmaceutical companies, healthcare organizations, research institutes

In Drug Discovery focuses on identifying and developing new drug candidates through laboratory research and screening. Pharmacologists study how drugs interact with biological systems, often working on understanding drug effects and mechanisms. While both roles require scientific backgrounds and lab work, drug discovery emphasizes the creation of new compounds, whereas pharmacology centers on understanding existing drugs' actions.

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In Drug Discovery jobs near you
Infographic showing various In Drug Discovery job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $127,745 per year, or $61.4 per hour.

Machine Learning Scientist - Drug Discovery

Astrix Inc

South San Francisco, CA • On-site

$60 - $70/hr

Full-time, Contractor

Posted yesterday

New

Job description

Our client is a leading biotech company seeking a highly motivated AI/ ML Scientist to join their innovative research organization focused on applying artificial intelligence and machine learning to drug discovery and molecular design.
Title: Machine Learning Scientist - Drug Discovery
Location: Remote - United States (PST preferred)
Schedule: Full-Time, 40 hours/week
Contract Duration: 12 months, with a strong possibility of extension
Employment Type: W-2 + Benefits
Compensation: $60-$70/hour, depending on experience and qualifications
Job Details:
This role will focus on designing, developing, training, and deploying advanced machine learning models and computational engines that support lab-in-the-loop molecular design and optimization. Areas of focus include sequence modeling, molecular structure, conformational ensembles, molecular property prediction, natural language processing, computer vision, and robotics. The successful candidate will work in a highly collaborative, multidisciplinary environment alongside ML scientists, ML engineers, computational scientists, and drug design experts to develop next-generation solutions at the intersection of AI and life sciences.
Key Responsibilities
  • Design, develop, optimize, evaluate, and deploy advanced deep learning models, including large language models, multimodal transformers, and generative AI models.
  • Build and optimize scalable data pipelines supporting machine learning and scientific applications.
  • Optimize model training and inference for performance, scalability, and accuracy using multi-GPU and cloud-based infrastructure.
  • Develop and maintain MLOps workflows covering model deployment, version control, monitoring, reproducibility, and ongoing model performance.
  • Develop machine learning approaches that connect diverse datasets, including genomics, transcriptomics, imaging, molecular, and clinical data.
  • Partner with scientists and engineers across disciplines to translate innovative machine learning methods into practical applications for drug discovery, disease research, and biomedical applications.
  • Independently troubleshoot complex modeling, software, and infrastructure challenges and drive solutions from development through deployment.

Qualifications:
  • B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Computational Biology, Data Science, Statistics, Mathematics, or a related quantitative discipline.
  • Must be authorized to work in the United States without current or future employer sponsorship.
  • 1-5 years of relevant professional experience, including postdoctoral research where applicable.
  • Strong foundation in data structures, algorithms, software engineering, and computational problem solving.
  • Expert-level Python programming skills.
  • Extensive experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Strong debugging and software development skills, with the ability to independently diagnose and resolve complex technical issues.
  • Experience with large-scale or distributed model training, such as DDP, Ray, FSDP, or DeepSpeed.
  • Experience with model deployment technologies such as Triton or ONNX.
  • Experience working with cloud and/or GPU computing infrastructure.
  • Hands-on experience with geometric deep learning, molecular cofolding models, neural force fields, or related scientific ML approaches is highly preferred.

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