Scientist, Computational Biology

What ifyou could help build a life sciences company developing breakthrough technologies to transform how disease is detectedmonitored and treated

Liquid biopsies have opened the possibility of understanding disease through minimally invasive biospecimens rather than relying solely on tissue biopsies and other invasive procedures. Yet todays liquid biopsy technologies still capture only a fraction of the biology needed to detect disease earlymonitorprogression and guide intervention across many high-burden conditions. As a result many diseases are still diagnosed only after symptomsemergeor after invasive testing limiting the opportunity to intervene when treatments may have the greatest impact.

FL103 isseekinga highly motivated computational biologist to join our early-stage biotech company. The successful candidate will be a driven scientist who is excited to develop and applystate-of-the-artcomputational approaches to detect disease-relevant cellular dynamics from minimally invasive biospecimens. This positionprovidesa unique opportunity to play a foundational role in building FL103s core platform and translating complex biological data into insights that can shape the future of disease detection monitoring and intervention.

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. Since Flagships founding in 2000 the firm has originated and fostered more than 100 scientific ventures including Moderna Therapeutics Generate Biomedicines and Indigo Agriculture.

Position Summary:

FL103isseekinga highly motivated and experiencedcomputationalbiologist to join our early-stage biotech company. The successful candidate will be a driven experienced scientist who is enthusiastic about developingstate-of-the-arttechniques to pioneer the detection of cellular dynamics fromminimally invasivebiospecimens. The position willprovidea unique opportunity to play a foundational role in the development of FL103score platform.

Responsibilities:

• Developmaintain and scale computational pipelines for proteomics transcriptomics and internal proprietary assay data.

• Integrate multi-modal biological datasets toidentifydisease-relevant molecular patterns candidate biomarkers and assay features.

• Design and apply statistical machine learning and bioinformatics methods to improve assay sensitivity specificity reproducibility and biological interpretability.

• Partner with biologists assay developers and leadership to design experiments define success criteria analyze results andvalidatekey 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.

• Ensure analyses are reproducible well-documented and version-controlled with clear standards for data provenance code quality and interpretation.

• Translate complex computational analyses into clear biological and strategic recommendations for cross-functional teams.

• Maintain deep scientific and technicalexpertiseby staying current with advances in computational biology liquid biopsy technologies biomarker discovery multi-omics analysis and disease biology.

• Communicate results clearly through presentations written reports technical documentation and cross-functional discussions with the FL103 team.

Qualifications:

• PhDincomputational biology systems biology bioinformatics computerscienceor related fields with2-4 years of industry experience

• Experienced in standard and advanced computational support of wet-lab experimental design

• Understanding of NGS approaches anddemonstratedability to collaborate with experimental biologists to conduct quality control design experiments andoptimizeprotocols

• Experience analyzing -omics data (e.g. single-cell and bulk RNA-seqmass spec) using a scientific programming language such as R or Python.

• Strong hands-on experience analyzing mass spectrometry-based proteomics data isrequired; direct experience with raw mass spec data processing QC normalization and feature extraction is stronglypreferred.

• Experience withbothstatistical inferenceandmachine learning( forests SVMs neural networks transformers etc.).

• Ability to manage multiple projects working both independently and collaboratively within a dynamic team

• Excellent written and verbal communication skills to present results and scientific data to the internal team and/or collaborators

• Highly attentive to detail flexible and curious

• Enthusiastic about playing a pivotal role in building the foundation of a new biotech company

Flagship Pioneering is committed toequal employment opportunityregardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability genderidentityor Veteran status.

Recruitment & Staffing Agencies:Flagship Pioneering and its affiliated Flagship Lab companies (collectively FSP) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees isstrictly prohibitedunless contacted directly by Flagship Pioneerings internal Talent Acquisition team. Any resumesubmittedby an agency in the absence of a signed agreement will automatically become the property of FSP and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $115000 - $165000. Compensation for the role will depend on a number of factors including a candidates qualifications skills competencies and experience. FL103 currently offers healthcare coverage annual incentive program retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL103s good faith estimate as of the date of publication and may be modified in the future.

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