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Biophysics Remote Jobs (NOW HIRING)

Chemify Ltd

Staff CADD Scientist

San Francisco, CA · On-site +1

San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our ... PhD (or equivalent experience) in Computational Chemistry, Structural Biology, Biophysics, Physics ...

Scarlet

Lead Auditor - Contractor role

Conduct remote audits of medical device manufacturers' Quality Management Systems under ISO 13485 ... Bachelor's degree in: * software engineering * computer science * physics or biophysics * biology ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... biophysical chemistry. The position requires a PhD in Chemistry (or an equivalent doctorate in an ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Discovering the interplay among biophysical, socioeconomic, and institutional dimensions of dryland ...

Genesis Molecular AI

Senior CADD Scientist

San Diego, CA · On-site +1

$97K - $132K/yr

... and biophysical simulation. We are seeking a Senior CADD Scientist to join our team, working ... We are open to remote team members too. What we offer * Competitive Pay * Health Care Plans ...

Pantera Capital

Physics Tutor

Manhattan, NY · On-site +1

$100/hr

The AI Tutor - Physics Specialist role is a remote position. We prefer candidates available for ... as biophysics). Proficiency in reading and writing, both in informal and professional English.

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Desired qualifications include previous experience in biophysical chemistry of proteins and lipids ...

Texas Children's Hospital

Social Worker

Bellaire, TX · Remote

... biophysical, psychosocial, environmental, discharge planning needs and financial status ... As a remote worker/road warrior, this consent allows us to disclose an employee's home address for ...

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What are the key skills and qualifications needed to thrive as a Biophysics Remote professional, and why are they important?

To thrive as a Biophysics Remote professional, you need a strong background in physics, biology, mathematics, and computational modeling, often supported by an advanced degree in biophysics or a related field. Proficiency with data analysis software, molecular modeling tools (such as PyMOL or MATLAB), and remote collaboration platforms is typically required. Excellent problem-solving skills, self-motivation, and effective virtual communication are crucial soft skills for success in a remote setting. These skills and qualifications ensure you can conduct complex research, collaborate across disciplines, and drive scientific discovery while working remotely.

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Biophysicists working remotely often face challenges related to limited access to specialized laboratory equipment and direct experimental collaboration. To address these issues, many remote biophysicists focus on computational modeling, data analysis, and collaborating with lab-based colleagues through virtual meetings and cloud-based data sharing. It's important to establish clear communication routines with your team and leverage remote access tools to maintain productivity. Participating in regular virtual seminars or journal clubs can also help you stay connected to the latest research and maintain a sense of community.

What are Biophysics remote jobs?

Biophysics remote jobs are positions that allow professionals to work from home or outside a traditional lab setting while conducting research, data analysis, or simulations related to the physical principles underlying biological systems. These roles often involve computational modeling, bioinformatics, or theoretical research, leveraging technology to collaborate with teams virtually. Remote biophysicists may work for universities, research institutes, biotech companies, or healthcare organizations, contributing to advancements in fields like drug discovery, structural biology, and medical imaging.
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Infographic showing various Biophysics Remote job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution.

Staff CADD Scientist

Chemify Ltd

San Francisco, CA • On-site, Remote

Full-time

Posted 21 days ago

Job description

About Chemify:
Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity.
Our Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. This gives our computational scientists something rare: a direct, high-throughput bridge from in silico design to physically synthesised molecules, closing the design-make-test loop at a pace conventional drug discovery organisations cannot match.
Location: San Francisco (hybrid) or fully remote from Boston / San Diego
Travel: Regular travel to our Glasgow HQ / Chemifarm
The Role
We are seeking a Staff CADD Scientist to drive computer-aided drug design on Chemify's commercial programmes and computational platform. You will sit at the centre of a cross-disciplinary team - computational chemists, in-house and partner medicinal chemists, AI researchers, data engineers, and automation scientists - and shape how structure, simulation, and machine learning translate into molecules we actually make.
Your work sits at the interface between Chemify's platform and our commercial partners' drug discovery programmes. You will design and prioritise molecules for synthesis, work directly with partner chemists on medicinal-chemistry strategy - turning computational proposals into physically-made compounds.
If you are energised by solving complex scientific problems at the intersection of chemistry, physics, and AI - and by seeing your designs synthesised and tested within days rather than months - we'd love to welcome you to our team.
Key Responsibilities
  • Own the computational design approach on assigned programmes, from hit discovery through lead optimisation; partner with in-house and customer chemists on MPO and translate SAR into actionable hypotheses across DMTL cycles.
  • Deploy and advance methods across the CADD stack - docking, pharmacophore, shape and 3D-similarity, MD, FEP, QSAR modelling - choosing the right blend of physics- and ML-based approaches for each programmes.
  • Communicate reasoning, trade-offs, and recommendations to partner chemists and project leads.
  • Help productionise CADD methods into a reproducible, API-first toolkit; partner with Infrastructure on cost-effective GPU/HPC workflows.
  • Mentor computational chemists and junior CADD scientists; partner with the Head of Advanced Machine Learning on hiring and growth; act as the scientific interface with customers on commercial projects.
  • Represent Chemify's CADD capability externally - publications, conferences, and partner engagements where appropriate.

About You
You are a rare hybrid: a deeply credible computational chemist who is equally comfortable reasoning protein-ligand interactions and shipping code that runs in production. You care about getting real molecules made, not only writing elegant methods.
We expect you to bring:
  • PhD (or equivalent experience) in Computational Chemistry, Structural Biology, Biophysics, Physics, or a closely related field, plus 8+ years of hands-on CADD experience in small-molecule drug discovery - including owning the computational strategy on active programmes.
  • Strong grounding in both structure- and ligand-based drug design - protein-ligand biophysics on one side, and pharmacophore, shape, and SAR-driven design on the other - with hands-on use of standard CADD stack (e.g. MOE, PyMOL, OpenMM / GROMACS / AMBER).
  • Familiarity with core drug discovery and medicinal chemistry principles - translating diverse assay readouts into design hypotheses - and a clear understanding of pharmacological principles to keep CADD output biologically relevant.
  • Working knowledge of modern deep learning for molecular design (GNNs, generative models, property prediction), and a clear sense of when these complement traditional CADD methods rather than replace them.
  • Strong Python and at least one core cheminformatics toolkit (e.g. RDKit, OpenEye); real experience inside the drug-discovery loop (SAR, MPO, DMTL cycles, lead optimisation, library enumeration); comfort with GPU-accelerated simulation and cloud/HPC workflows.
  • The ability to present computational reasoning to working chemists and partner scientists and a track record of technical leadership beyond your own projects.

Beneficial Skills
  • Hands-on experience with free energy perturbation (FEP+, OpenFE, or equivalent) in a production drug-discovery setting.
  • Practical use of generative chemistry methods (diffusion, autoregressive, RL-based design), including a clear-eyed view of their failure modes.
  • Familiarity with active learning, iterative DMTL design loops, and Bayesian optimisation applied to molecular design.
  • Experience building or integrating CADD tooling into API-first platforms (FastAPI, Docker, CI/CD), and proficiency in C/C++ / CUDA for high-performance computational chemistry.
  • A visible track record in the field - peer-reviewed publications, open-source contributions, or public projects that demonstrate your judgement on real CADD problems.

Why Join Chemify?
Impact:
You will directly shape the molecules Chemify designs and makes - at a company uniquely positioned to close the design-make-test loop through automated chemical synthesis at scale.
Autonomy:
Reporting to the Head of Advanced Machine Learning, you will own CADD strategy on your programmes, choose the methods and tools, and have meaningful influence over the computational platform that supports every project at Chemify.
Ambition:
We are a Series B deep-tech company investing in world-class infrastructure and tackling problems at the frontier of AI, robotics, and chemistry. You will have the resources, the data, and the mandate to do CADD in a way that isn't possible elsewhere.

Apply