Machine Learning Engineer

Job Description - Sr. ML / ML Engineer, AI and Computational Biology About Harbinger Health Harbinger Health is spearheading the early detection of cancer to enable fundamentally new methods for cancer screening, diagnosis, and management. First nurtured within Flagship Pioneering for three years before launching in 2021, Harbinger brings together advancements in artificial intelligence and unique insights into the biology of early cancer cell formation to identify cancer before it is visible or symptomatic, aiming to develop low-cost, multi-cancer blood tests. At Harbinger, we aspire to be the leaders in shaping this future - pioneering a proactive approach to allow people to live longer without cancer, thereby adding years to life and life to years. We envision a future where, instead of preventing cancer from spreading, we keep it from forming. We are turning a cancer diagnosis into a manageable health issue rather than a life-altering event that is feared, fundamentally altering the landscape for individuals, healthcare systems, and societies. Our approach begins with proprietary solutions we are developing with our platform technology. By making cancer screening globally accessible, Harbinger Health has the potential to revolutionize cancer care, for everyone. Our lifesaving work is guided by our values of rigorousness and transparency, constructive engagement, inclusiveness, accountability, and quality. We also prioritize a strong commitment to our customers, patients, and one another. These values drive our decisions and activities. We are a highly dynamic, entrepreneurial, and innovation-driven organization seeking passionate, committed individuals to join our team. Position Summary Harbinger Health is seeking a driven and innovative Machine Learning Engineer to join our AI and Computational Biology group. This individual will be tasked with creating, deploying, and maintaining machine learning models. In addition, responsibilities include managing the end-to-end workflow of training, testing, and benchmarking models. The individual will also work on tools to interpret and visualize raw data and model outputs. No prior knowledge of computational biology or experience in the biotech industry is required. The successful candidate will work closely with data scientists, machine learning engineers, bioinformatics group, and assay group, needing strong communication skills, acute attention to detail, and the ability to work both independently and within a team. Key responsibilities Preprocessing of data sets and data cleanup Design and implement machine learning models on genomic and health-related datasets Create workflows for machine learning model development Benchmark, deploy, and maintain machine learning models Analyze genomic data for feature selection Coordinate with various functional teams to implement models and monitor results Develop processes and tools to assess model performance and accuracy Collaborate closely with data scientists and software engineers to implement robust and scalable products Research new technologies in machine learning, deep learning, and data visualization Work with stakeholders throughout the organization Qualifications PhD or MSc + 5 years of experience in Computer Science, Statistics, Computational Biology, Scientific Computing or other relevant areas Proficient in Python language Working experience with Python modules for data science: Pandas, Scikit-Learn, Scipy, Numpy Familiar with machine learning modules in python such as PyTorch or Keras Thorough understanding of a variety of machine learning techniques with practical experience (clustering, decision trees, artificial neural networks, etc.) Familiarity with genomic data types is a plus Strong problem-solving skills Strong communication and collaboration skills 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. Recruitment & Staffing Agencies: Harbinger Health does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Harbinger Health or its employees is strictly prohibited unless directly contacted by Harbinger Health’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Harbinger Health, and Harbinger Health will not owe any referral or other fees with respect thereto.