Machine Learning/Senior Machine Learning Engineer, AI and Computational Biology

Job Description - Sr. ML / ML Engineer, AI and Computational Biology 

About Harbinger Health

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.

Position Summary

Harbinger Health is seeking a highly motivated and innovative Machine Learning Engineer to join our AI and Computational Biology group. The candidate will be responsible to create, deploy and maintain machine learning models. In addition, the candidate will be responsible for end to end workflow of train, test and benchmark models. The candidate will also work on tools to help interpret and visualize raw data and model outputs. No prior knowledge of computational biology or experience in biotech industry is required. The candidate will be working closely with data scientists, machine learning engineers, bioinformatics group, and assay group. the candidate should have strong communication skills, attention to details and ability to work both independently and in a strong team environment.

Key responsibilities

• Preprocessing of data sets and data clean up
• Design and implement machine learning models on genomic and health related data sets
• Create workflows for machine learning model development
• Benchmark, deploy and maintain machine learning models
• Analyze genomic data for feature selection
• Coordinate with different functional teams to implement models and monitor outcomes
• 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 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 contacted directly 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.