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Molecular Docking Jobs (NOW HIRING)

We are creating a future where the synthesis of previously unimaginable molecules, drugs, and ... Deploy and advance methods across the CADD stack - docking, pharmacophore, shape and 3D-similarity ...

$48K - $65K/yr

... molecular modeling and docking software o Must be detail oriented and have ability to keep organized and accurate records Conditions of Employment: To promote the highest levels of health and well ...

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Molecular Docking information

What is a Molecular Docking job?

A molecular docking job involves using computational techniques to predict the interaction between molecules, such as a drug candidate and a target protein. Researchers in this field use specialized software to model binding affinities, optimize molecular structures, and analyze potential therapeutic effects. This role is often found in pharmaceutical research, bioinformatics, and drug discovery, requiring expertise in molecular modeling, chemistry, and computational biology.

What are the key skills and qualifications needed to thrive in the Molecular Docking position, and why are they important?

To thrive in a Molecular Docking role, you need strong expertise in computational chemistry, structural biology, and molecular modeling, often supported by an advanced degree in a related field. Familiarity with molecular docking software (such as AutoDock or Schrödinger Suite), programming languages (like Python or R), and experience with high-performance computing are typically required. Attention to detail, analytical thinking, and effective communication are valuable soft skills for collaborating and presenting complex findings. These capabilities are essential for accurately predicting molecular interactions, driving scientific discovery, and contributing to successful multidisciplinary projects.

What does a typical day look like for someone working in Molecular Docking?

A typical day in Molecular Docking often involves running computational simulations to predict how small molecules interact with biological targets, analyzing and interpreting the resulting data, and preparing reports or presentations for research teams. You may also spend time troubleshooting software issues, developing scripts to automate workflows, and staying up to date with the latest scientific literature. Collaboration is common, as you’ll likely work closely with medicinal chemists, structural biologists, and other computational scientists to refine hypotheses and guide experimental design. This multifaceted environment provides opportunities to continually learn and apply new techniques, making the day-to-day work both intellectually stimulating and impactful.

More about Molecular Docking jobs
What cities are hiring for Molecular Docking jobs? Cities with the most Molecular Docking job openings:
What states have the most Molecular Docking jobs? States with the most job openings for Molecular Docking jobs include:
Infographic showing various Molecular Docking job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution.
Bioinformatics Engineer, Therapeutics

Bioinformatics Engineer, Therapeutics

LatchBio

San Francisco, CA • On-site, Remote

Full-time

Posted 23 days ago


Job description

As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Bioinformatics Engineer for Therapeutics to join our therapeutics bench, working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach for evaluating how AI agents reason through complex biologics therapeutics datasets. Working with software engineers and biologists, you'll build ground-truth benchmark datasets-drawn from real antibody and protein discovery programs-that rigorously test whether agents can perform the critical decision-making steps that human scientists execute.
Your hands-on expertise in variant ranking, enrichment analysis, and advancement prioritization will define how we measure agent capability in therapeutic discovery.
Requirements
  • 2+ years hands-on experience with biologics discovery or development (antibody engineering, protein engineering, or cell/molecular biology-driven target validation)
  • Experience interpreting binding kinetics (SPR/BLI), biophysical stability data, and/or cell-based potency assays
  • Proficiency in Python and/or R for data analysis & visualization
  • Familiarity with at least one of:
    • Antibody optimization (CDR engineering, VH/VL pairing, variant screening)
    • Protein structure (AlphaFold, cryo-EM, docking)
    • High-throughput antibody/binding screens
    • PK/PD modeling for biologics (target occupancy, half-life, clearance) -
    • Bioprocess/manufacturability constraints

Nice-to-Have
  • Experience with immunogenicity risk assessment
  • Hands-on work with potency assay design (ELISA, cell-based, biochemical)
  • CMC/GMP-adjacent knowledge

Compensation & Logistics
  • OTE 120k - 180k - Performance based pay
  • Free meals onsite (lunch and dinner)
  • Waterfront office in China Basin, San Francisco
  • Full-time, in-person (can be remote)

LatchBio logo

About LatchBio

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021

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