Remote Senior Data Scientist

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care.

One mission. One team. That’s OneStudyTeam.

Our unique, rapidly growing data streams are enabling unique opportunities to manage clinical trials more efficiently and predictably. The Data Science & Analytics division is looking for a talented Senior Data Scientist who can help us understand and predict patterns to help research sites and their sponsors plan and manage clinical trials more effectively. If you are empathetic, business-driven, and want to use your data science skills to make a tangible impact in the clinical research community then this may be the role for you.

As a Data Scientist at a fast-growing company, we’re looking for people who can effectively balance rapid execution and delivery with innovative data exploration to serve the business most effectively. You have strong opinions, weakly held, and while well-versed technically and mathematically, know when to choose the right technique, for the right job, at the right level of complexity. You will work closely with our other Data, Product, Engineering, and Design groups to help turn targeted R&D around modeling patient, site, sponsor, and clinical logistics behaviors into solutions that can be used to practical benefit.

What You’ll Be Working On

• Expanding the capabilities of our predictive modeling suite and integrating it into compelling, commercializable, data-driven narratives for pharmaceutical sponsors
• Develop recommendation systems which materially improve the operational efficiency, scalability, and effectiveness of our Customer Success and Sales teams as they support sites and sponsors
• Performing hands-on R&D and discovery sessions with stakeholders to drive novel, high-ROI data science applications for sites, sponsors, or associated stakeholders
• Becoming intimately familiar with HIPAA, GDPR, and other applicable regulatory and privacy frameworks and how they influence our analytical and model development decisions
• Regularly communicating your efforts to the Director of Data Science, Head of Data, and other technical/non-technical stakeholders in clear written, verbal, or presentation form
• Living our data philosophy, which focuses on ethical decision making, being aware of how biased data (and assumptions) can affect results (and, more importantly, people), and being laser-focused on business needs

What You Bring to OneStudyTeam

• At least 5 years of professional work experience in an applied data science role dealing with regulated health or clinical data (or a similar highly regulated dataset)
• A willingness to deeply engage with stakeholders and understand business strategy to establish a “definition of value” before considering technical approaches
• Deeply understands not only how to use a technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
• Expertise in several techniques such as (but not limited to): Bayesian statistics and modeling, linear/nonlinear regression, linear optimization, mixed integer programming, supervised/unsupervised learning, expert systems, network analysis, and neural networks
• Familiarity (or ability to become familiar) with privacy-preserving or identity protecting techniques and ways to discern bias in models that may impact recommendations regarding diverse and underserved populations
• Expertise in Python and SQL and deep familiarity with corresponding analytics, visualization, and data processing libraries
• Understanding of the nuances of testing models and addressing scalability/accuracy of analytical processes in probabilistic systems
• Advanced degree in computer science, data science, mathematics, statistics, or other related field
• Relevant published or publicized professional or academic work such as open-source contributions, blog posts, or publications