Data Scientist – Level II/III

Job Description

• DotLab is looking for an experienced data scientist to join our dynamic research team and help develop a molecular diagnostic pipeline for endometriosis. The individual will help discover, interpret, and translate multi-dimensional molecular data from bench to clinical use through data integration, advanced modeling and analytic approaches.
• This is a remote position with some travel to the laboratory in Branford, CT. Candidates must be living in CT or CA.
• The applicants must be US citizens or permanent residents.

Role & Responsibilities

• Provide support to data science projects including analysis, querying, coding, visualization, modeling, and deployment
• Help design studies to profile molecular biomarkers and characterize sources of variation
• Develop innovative approaches to integrate and visualize complex data
• Use statistical and bioinformatics tools to identify candidate predictors from molecular and clinical data
• Collaborate with clinical, marketing, data- and life-sciences teams to help achieve company goals
• Communicate key findings to clinical and lab scientists

Education and Qualifications

• Master’s Degree in statistics, computational biology, bioinformatics or another relevant field AND 2+ years of relevant industry experience.
• Strong scientific and statistical acumen: ability to translate scientific questions into testable hypotheses, apply appropriate methodology to test these hypotheses and answer the questions of interest.
• Demonstrated experience in processing, modeling and reporting omics data.
• Strong programming skills and demonstrated proficiency using machine learning methods with Keras, R, RMarkdown, shiny;
• Experience/exposure with designing and building processing pipelines.
• Knowledge of SQL, Python, experience with cloud computing infrastructure is a plus.
• Knowledge of molecular biology, biochemistry, or related field is a plus.
• Experience with molecular biology technologies (qPCR, NGS, multi-omics platforms).
• Self-motivated, conscientious, with strong work ethic, ability to work independently, prioritize workload, and collaborate effectively with cross-functional teams.
• Collaborative and proactive attitude with excellent written and oral communication skills.