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SLS Services Limited; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Performance-based bonus

Flexible working hours

Job summary

SLS Services Limited is seeking an Associate Principal / Principal Computational Biologist to drive advanced analytics, AI, and biological insight in condensate biology. You will lead design and execution of computational strategies across multi-omics to accelerate drug discovery.

The role requires a PhD with deep experience in modeling, machine learning, and data visualization, plus collaboration with biologists and chemists to translate data into hypotheses and platform tools.

Qualifications

• PhD or equivalent in Computational Biology, Bioinformatics, Systems Biology, or related field.
• Experience in computational modeling, algorithm development, and multi-omics data analysis.
• Broad understanding of molecular biology and drug discovery.

Responsibilities

• Design computational strategies for analyzing large-scale multi-modal biological data.
• Develop models to elucidate disease mechanisms and compound action.
• Collaborate with experimental biologists and chemists to generate data-driven hypotheses.
• Contribute to the development of new platform tools for condensate biology.

Skills

R/Python

Statistical modeling

Machine learning

Data visualization

Education

PhD in Computational Biology or related field

Tools

Cloud computing

Data pipelines

NGS data analysis tools

Job description

Ready to push the boundaries of drug discovery? This is your chance to join a cutting-edge biotech shaping the future with condensate biology—an entirely new frontier in human health. Looking for a visionary Associate Principal / Principal Computational Biologist to harness advanced analytics, AI, and biological insight to crack the toughest therapeutic challenges. If you live for big data, bold ideas, and impact, this is the role that lets you change the game.

Our client is a fast-growing, science-driven biotechnology company transforming the treatment landscape through cutting-edge condensate science. Leveraging a unique end-to-end platform, they integrate high-resolution biology, AI, and machine learning to accelerate drug discovery and develop novel therapies for complex diseases where current options fall short. With strong backing from leading investors, a culture of innovation and inclusion, and an inspiring mission to address urgent patient needs, this is a truly exciting place to advance your career.

Responsibilities/Role

In this influential role, you will work at the interface of data, algorithms, and biology, driving insights to accelerate therapeutic programs:

• Design and implement computational strategies for analyzing large-scale multi-modal biological data

• Develop models to elucidate mechanisms of disease and compound action

• Partner with experimental biologists and chemists to deliver data-driven hypotheses

• Contribute to the development of new platform tools for condensate biology

Experience & Qualifications

• Advanced degree (Ph.D. or equivalent) in Computational Biology, Bioinformatics, Systems Biology, or related field

• Proven experience in computational modeling, algorithm development, and analysis of multi-omics datasets

• Broad understanding of molecular biology and drug discovery

Benefits

• Performance-based bonus

• Flexible working hours

Nice to Have

• Exposure to AI/ML pipelines within a biopharma environment

• Knowledge of graph theory, network biology, or systems pharmacology

• Experience with computational chemistry or physics-based modeling

Skills

• Expertise in R, Python, or similar programming languages

• Proven skills in statistical modeling, machine learning, and data visualization

• Experience with NGS, proteomics, and structural biology datasets

• Familiarity with cloud computing and scalable data pipelines