Biomedical Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. Data Science and biostatistics play central roles in this effort. We are looking for a Data Scientist to lead these efforts at PathAI.

What you’ll do:

• Lead biostatistics efforts in a team setting of fellow scientists and machine learning engineers
• Cross-functional collaboration with other teams to integrate large-scale datasets and use bioinformatics to define the factors associated with drug response and resistance
• Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products
• Identify scientifically relevant findings within datasets spanning multiple modalities
• Develop scalable computational solutions to further clinical data analysis automation across projects
• Communicate findings both internally and externally and recommend follow up actions

What you’ll need:

• Ph.D. in bioinformatics, engineering, statistics, biostatistics, biomedical engineering, cancer biology, immunology, genetics, or similar with 3+ years of industry experience or strong academic record.
• Demonstrated ability of contributing to multi-disciplinary team projects.
• Expertise with programming language such as R AND Python for complex data analysis and reproducible research practices.
• Mastery in integrating and analyzing diverse high-dimensional data sets relevant to oncology, immunology, and other areas of clinical relevance.
• Capability to conduct systematic analyses to evaluate multiple hypotheses and prioritize clinically-relevant questions.
• Scientific curiosity with an ability to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively.
• Excellent problem-solving and collaboration skills.
• Strong communication, data presentation, and visualization skills.
• Strong publication record.
• Background in clinical data/oncology/immuno-oncology and/or experience working with clinical trial data is a plus.

Benefits

For the right candidate, we'll offer a competitive salary plus equity. Your compensation is rounded out by a strong benefits package:

• Flexible work hours, with work-from-home options available 
• Three weeks of paid leave per year, an additional two weeks of sick time, plus extended holidays and team-approved leave
• Ten days of 100% subsidized childcare per year
• Healthcare, vision, and dental insurance plans (HMO or PPO), with voluntary add-ons available for dependent care, life, and accident coverage
• Commuter benefit available for public transit or parking