Flagshippioneeringinc

Scientist, Computational Biology

Cambridge, MA USA

Sponsorship not specifiedDetected 7 days ago

Machine LearningLLMsBioinformaticsNGSExperimental DesignLeadershipPublic Speaking

About the role

FL103 is seeking a highly motivated and experienced computational biologist to join our early-stage biotech company.
The position will provide a unique opportunity to play a foundational role in the development of FL103's core platform.

Develop, maintain, and scale computational pipelines for proteomics, transcriptomics, and internal proprietary assay data.
Partner with biologists, assay developers, and leadership to design experiments, define success criteria, analyze results, and validate key biological and computational hypotheses.
Collaborate with software and data engineers to build internal tools, dashboards, and user interfaces that enable scientists to explore, interpret, and pressure-test FL103 data.
Build literature- and knowledge-based contextualization workflows, including responsible use of LLMs, to connect internal findings with external scientific evidence and disease biology.
Develop rigorous analytical frameworks for comparing candidate markers, assay conditions, biological cohorts, and disease states.
Maintain deep scientific and technical expertise by staying current with advances in computational biology, liquid biopsy technologies, biomarker discovery, multi-omics analysis, and disease biology.
What if… you could help build a life sciences company developing breakthrough technologies to transform how disease is detected, monitored, and treated?
The successful candidate will be a driven scientist who is excited to develop and apply state-of-the-art computational approaches to detect disease-relevant cellular dynamics from minimally invasive biospecimens.

PhD in computational biology, systems biology, bioinformatics, computer science or related fields with 2-4 years of industry experience
Experience analyzing -omics data (e.g., single-cell and bulk RNA-seq, mass spec) using a scientific programming language such as R or Python.
Experienced in standard and advanced computational support of wet-lab experimental design
Understanding of NGS approaches and demonstrated ability to collaborate with experimental biologists to conduct quality control, design experiments, and optimize protocols
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FL103 was founded by Flagship Pioneering, an innovation enterprise dedicated to originating and developing companies that invent breakthrough technologies to transform health care, agriculture, and sustainability.
Design and apply statistical, machine learning, and bioinformatics methods to improve assay sensitivity, specificity, reproducibility, and biological interpretability.

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