Mid Level Computational Chemist Jobs
Mid level computational chemist jobs go to scientists ready to own simulation workflows, interpret complex molecular modeling results, and guide experimental direction with limited oversight. Hiring runs across Education, Biotechnology & Pharmaceuticals, and Science & Research, with a mix of on-site, remote, and hybrid settings, with employers like BDO, dsm-firmenich, and Sail Biomedicines competing for computational chemists at this level now.
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The Position
Join our team and drive the future of programmable eRNATM therapeutics and In Vivo CAR-T therapies where artificial intelligence, targeted delivery systems and next-generation immunotherapy converge to redefine what’s possible for patients. As a key member of the Sail Biomedicines Computational Biology team, the Senior Scientist I will operate at the interface of platform and program, applying data-driven approaches to champion broad platform efforts and hands-on analysis of preclinical datasets to transform the treatment landscape for autoimmune diseases, and beyond. The ideal candidate brings a strong foundation in computational biology and a record of independently developing, implementing, and critically evaluating computational methods for biological research. They should be comfortable reasoning through methodological assumptions, limitations, and biological implications of an analysis, from raw measurements through interpretation. The role will directly support In Vivo CAR-T immunology programs and platform development, with opportunities to contribute to building capabilities spanning molecular and systems modeling, computational protein design, and AI-based therapeutic engineering.
Responsibilities
- Lead analysis of preclinical research datasets, including immunophenotyping, functional assays, and multi-omics data to support therapeutic development
- Develop, adapt, and benchmark computational and statistical methods to address biological questions where standard workflows are insufficient
- Integrate and interpret data across studies leveraging internal and external resources to contextualize findings, evaluate consistency, and strengthen understanding of our therapeutics
- Partner with experimental scientists to shape experimental design, identify limitations, interpret results, and prioritize follow-up studies
- Build and maintain reproducible analysis workflows, with clear documentation and version control (Git) with consistent data annotation and metadata practices
- Communicate findings, uncertainty, and implications with collaborators through effective visualizations, presentations, and written summaries
Qualifications
Required:
- Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics, or a related quantitative discipline
- 3+ years of hands-on computational biology research in biotech, pharma, or academia
- A record of independently leading substantial computational biology projects, including developing, adapting, and benchmarking analytical methods. Evidence may include methods development, reusable scientific software, publications, or documented contributions to therapeutic research
- Deep expertise in at least one relevant area, such as transcriptomics, multi-omics analysis, or quantitative analysis of preclinical studies, spanning data generation, quality control, methodological choices, and biological interpretation
- Strong grounding in statistical modeling, with demonstrated ability to address confounding, batch effects, biological versus technical variation, and experimental-design limitations, and to assess uncertainty and sensitivity to analytical choices
- Strong programming skills in Python and/or R, with experience independently developing and maintaining reproducible, well-documented scientific analysis code and workflows
- Demonstrated ability to collaborate effectively with experimental scientists, take ownership of scientific questions, be a proactive force driving improvement, and be comfortable developing to contribute beyond your core area of expertise
Preferred:
- Experience in CAR biology, immunology, cell therapy, or RNA therapeutics
- Experience integrating heterogeneous datasets across studies or conducting meta-analysis
- Experience with workflow orchestration tools to cloud-based or collaborative data environments
- Track record of impactful scientific contributions (publications or program support)
- Computational protein design and/or structural biology experience a plus
About Sail Biomedicines
Sail Biomedicines is building a new class of fully programmable medicines by integrating circular RNA (eRNA™), targeted nanoparticle delivery, and advanced computational approaches. Our platform enables the systematic design and optimization of therapies, unlocking new possibilities across immunology and beyond.
Salary Range: $130,000 - $170,000
Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.
The Position
Join our team and drive the future of programmable eRNATM therapeutics and In Vivo CAR-T therapies where artificial intelligence, targeted delivery systems and next-generation immunotherapy converge to redefine what’s possible for patients. As a key member of the Sail Biomedicines Computational Biology team, the Senior Scientist I will operate at the interface of platform and program, applying data-driven approaches to champion broad platform efforts and hands-on analysis of preclinical datasets to transform the treatment landscape for autoimmune diseases, and beyond. The ideal candidate brings a strong foundation in computational biology and a record of independently developing, implementing, and critically evaluating computational methods for biological research. They should be comfortable reasoning through methodological assumptions, limitations, and biological implications of an analysis, from raw measurements through interpretation. The role will directly support In Vivo CAR-T immunology programs and platform development, with opportunities to contribute to building capabilities spanning molecular and systems modeling, computational protein design, and AI-based therapeutic engineering.
Responsibilities
- Lead analysis of preclinical research datasets, including immunophenotyping, functional assays, and multi-omics data to support therapeutic development
- Develop, adapt, and benchmark computational and statistical methods to address biological questions where standard workflows are insufficient
- Integrate and interpret data across studies leveraging internal and external resources to contextualize findings, evaluate consistency, and strengthen understanding of our therapeutics
- Partner with experimental scientists to shape experimental design, identify limitations, interpret results, and prioritize follow-up studies
- Build and maintain reproducible analysis workflows, with clear documentation and version control (Git) with consistent data annotation and metadata practices
- Communicate findings, uncertainty, and implications with collaborators through effective visualizations, presentations, and written summaries
Qualifications
Required:
- Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics, or a related quantitative discipline
- 3+ years of hands-on computational biology research in biotech, pharma, or academia
- A record of independently leading substantial computational biology projects, including developing, adapting, and benchmarking analytical methods. Evidence may include methods development, reusable scientific software, publications, or documented contributions to therapeutic research
- Deep expertise in at least one relevant area, such as transcriptomics, multi-omics analysis, or quantitative analysis of preclinical studies, spanning data generation, quality control, methodological choices, and biological interpretation
- Strong grounding in statistical modeling, with demonstrated ability to address confounding, batch effects, biological versus technical variation, and experimental-design limitations, and to assess uncertainty and sensitivity to analytical choices
- Strong programming skills in Python and/or R, with experience independently developing and maintaining reproducible, well-documented scientific analysis code and workflows
- Demonstrated ability to collaborate effectively with experimental scientists, take ownership of scientific questions, be a proactive force driving improvement, and be comfortable developing to contribute beyond your core area of expertise
Preferred:
- Experience in CAR biology, immunology, cell therapy, or RNA therapeutics
- Experience integrating heterogeneous datasets across studies or conducting meta-analysis
- Experience with workflow orchestration tools to cloud-based or collaborative data environments
- Track record of impactful scientific contributions (publications or program support)
- Computational protein design and/or structural biology experience a plus
About Sail Biomedicines
Sail Biomedicines is building a new class of fully programmable medicines by integrating circular RNA (eRNA™), targeted nanoparticle delivery, and advanced computational approaches. Our platform enables the systematic design and optimization of therapies, unlocking new possibilities across immunology and beyond.
Salary Range: $130,000 - $170,000
Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.
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Mid Level Computational Chemist Jobs: Frequently Asked Questions
How do I get a mid level computational chemist job?
Position your existing work around ownership and impact, not just task completion. Highlight projects where you drove methodology decisions, debugged complex simulations independently, or improved model accuracy in measurable ways. Applications that show you can operate with limited oversight, translate computational outputs into actionable chemistry insights, and collaborate across research and engineering teams stand out at this level.
Which companies hire mid level computational chemists?
Companies hiring mid level computational chemists right now include BDO, dsm-firmenich, and Sail Biomedicines, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large pharmaceutical and biotech firms, specialty materials companies, and research-driven technology organizations that maintain dedicated computational chemistry teams.
Are there remote mid level computational chemist jobs?
Yes, though availability varies by employer and project type. About 25% of mid level computational chemist openings are remote or hybrid as of November 2026, reflecting the fact that simulation and modeling work is well suited to distributed teams. Fully on-site roles are still common at companies with shared computing infrastructure or wet-lab collaboration requirements.
How do I move up to a mid level computational chemist role?
Moving from entry level into mid level means deepening your command of a core method, whether that is molecular dynamics, quantum chemistry, or cheminformatics, while also demonstrating that you can own a project from setup through interpretation. Building a record of measurable contributions, taking on tasks without close supervision, and showing that your outputs directly informed research decisions are the clearest signals hiring managers look for in this transition.
Which industries hire the most mid level computational chemists?
Mid Level computational chemist roles concentrate in Education, Biotechnology & Pharmaceuticals, and Science & Research, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they rely on computational approaches to accelerate drug discovery, materials design, and molecular optimization at a scale that justifies dedicated mid level specialists rather than outsourcing the work.