Senior Genomic Data Scientist

Harbinger Health is pioneering the detection of early cancer and enabling foundationally new approaches to cancer screening, diagnosis, and management. Incubated within Flagship Pioneering for three years before launching in 2021, Harbinger combines advances in artificial intelligence with proprietary insights into the biology of early cancer cell formation to identify cancer before it is visible or symptomatic with the aim of developing low-cost, multi-cancer blood tests.At Harbinger, we intend to lead in shaping this future – creating a proactive paradigm so that people can live cancer-free for longer, adding years to life and life to years. We envision a future where, instead of keeping cancer from spreading, it could be kept from forming, making a cancer diagnosis a routine health problem to be addressed rather than a life-altering event to be feared with profound implications for people, healthcare systems and societies.Our answer starts with proprietary solutions we are developing with our platform technology. By making cancer screening accessible on a global scale, Harbinger Health has the potential to fundamentally change cancer care, for everyone.Our lifesaving work is grounded by our principles of rigor and transparency, constructive engagement, inclusiveness, accountability and quality, and a strong commitment to our customers, patients, and each other. These values drive our decisions and actions. We are a highly dynamic, entrepreneurial, and innovation-driven organization seeking collaborative, passionate, and dedicated people to join our team.Job Description – Senior Genomic Data ScientistPosition SummaryAs a Genomic Data Scientist at Harbinger Health, you will be a key member of our Data Science team, focusing on developing statistical models to extract meaningful insights from complex sequencing data. This role will involve close collaboration with data scientists, machine learning engineers, bioinformaticians, and assay development teams. Strong communication skills, meticulous attention to detail, and the ability to work both independently and collaboratively in a team environment are essential for success in this role.Responsibilities:Analyze and mine large, complex data sets to uncover insights.Preprocess and clean data sets to ensure accuracy and reliability.Develop statistical and predictive models with a focus on genomic and healthcare data.Conduct feature selection to identify the most relevant variables in genomic data.Investigate and mitigate potential biases and covariates in data sets.Collaborate with cross-functional teams to implement and monitor model outcomes.Create tools and processes to monitor and evaluate model performance.Basic Qualifications:Ph.D., M.S., in computer science, bioinformatics, computational biology, biostatistics, or a related quantitative field is highly desirable.At least 3 years of industry experience in a computational role working with genomic data.At least 5 years of extensive programming in Python, with a portfolio of production-level software on GitHub or similar platforms.Proficiency in Python and experience with libraries such as Pandas, Scikit-Learn, SciPy, and NumPy.Familiarity with machine learning frameworks like PyTorch and Keras.Deep understanding of advanced statistical techniques and knowledge of machine learning methodologies.Experience with genomic data.Excellent communication, collaboration, problem-solving, and adaptability skills.Preferred Qualifications:Experience working with Next-Generation Sequencing (NGS).Experience within CLIA/CAP/FDA regulated environments.Harbinger Health 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.

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