(Senior) Scientist, Computational Biology/Statistical Genetics

Position Summary: ProFound Therapeutics is seeking a pioneering Scientist/Senior Scientist, Computational Biology/Statistical Genetics to help advance the ProFoundryTM Platform. The genetic, transcriptomic, proteomic, and imaging data in ProFoundry Atlas of novel human proteins is a unique resource for developing new therapeutics. The ideal candidate will thrive in a collaborative fast-paced environment and will provide the hands-on work and leadership necessary to use multi-omics to drive forward ProFound’s research and development. Company Summary: ProFound Therapeutics is a privately held, early-stage biotechnology company with the vision to revolutionize the human therapeutic landscape. ProFound was founded by Flagship Pioneering, a team of entrepreneurial scientists that has created over 75 groundbreaking companies that are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna Therapeutics (NASDAQ:MRNA), Seres Therapeutics (MCRB), Syros Pharmaceuticals (SYRS), Evelo Biosciences (EVLO), and Indigo Agriculture. ProFound Therapeutics is a highly dynamic, entrepreneurial, and innovation-driven organization seeking to hire an exceptional scientist to join our team. Key Responsibilities: - Lead develop ProFound’s multi-omics platform for maximal impact on biological characterization and the drug development pipeline - Develop and implement data integration methods and tools to use data from genetics, proteomics, transcriptomics, and high-content imaging to identify, prioritize, and characterize novel therapeutic targets - Collaborate in cross-disciplinary teams including wet-lab and data scientists to build computational pipelines, data summaries, visualization dashboards for high throughput leading-edge multi-omics technologies - Perform integrative and functional analyses to contribute to the understanding of phenotypes of drug perturbation, mechanism of action, and the identification of key response signatures - Process large datasets using bioinformatics techniques to create meaningful biological insight - Ensure multi-omic data analysis are documented and reproducible Minimum Qualifications: - PhD in bioinformatics, computational biology, statistical genetics or other relevant field with , or MS in relevant field with 7+ years of experience - Working knowledge of multi-omics data processing and statistical analysis - Experience developing network and/or systems biology approaches to multi-omic data to address problems in the life sciences and generate actionable biological insights - Ability to conduct computational analysis of multi-omics data and perform high-dimensional, multimodal data integration, leading to biological and pharmaceutical insight - Demonstrated industry experience or academic achievement, as evidenced by publications or contribution to widely used codebase - Skilled user of programming languages Python and/or R - A commitment to reproducible computational research - Excellent communication and presentation skills Preferred Qualifications: - Solid background in basic biology, disease biology in therapeutic areas, such as cardiometabolic disorders, cancers and inflammatory disorders. - Knowledge of human genetics and functional annotations of genetic variants. Experience with statistical analyses in human populations - Experience with cloud computing, especially AWS - Experience with MS proteomics and high-content imaging data and software platforms - Familiarity with large public domain data sources (i.e. ProteomeXchange, CPTAC, CMAP, DepMAP, TCGA, CCLE, JUMP-CP, UK Biobank, FinnGen, GTEx, functional annotation resources). Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or 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 is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by 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.