One stop solution to your remote job hunt!
By signing up you get access to highly customizable remote jobs newsletter, An app which helps you in your job hunt by providing you all the necessary tools.
Reify Health is paving the way to faster, predictable, and more accessible clinical trials. Through its business entities, StudyTeam and Care Access, the company provides best-in-class trial optimization software and transformative clinical trial infrastructure that delivers research directly to more healthcare providers, communities, and patients wherever they are. Through partnerships with top biopharma companies, thousands of research clinics worldwide, and leading healthcare & community organizations, Reify Health is helping bring new medicines to patients faster, one trial at a time.
Our unique, rapidly growing data streams are enabling unique opportunities to manage clinical trials more efficiently and predictably. The Data Science & Analytics ision is looking for a talented Data Science and Analytics Lead, Study Optimization Modeling 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 Science Lead 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.
< class="h3">What You'll Be Working On < class='"section'>- Exploring rich historical data from sites, sponsors, and other stakeholders and using it to develop models to help our sponsors make more effective study planning, logistics, and and enrollment management decisions as early as possible
- Working with our Data Products ision to turn your team’s insights and models into enterprise-ready recommendation systems and other intelligent features for our users
- Ensuring your team develops clean, reusable, and testable code and make use of existing data team libraries and modules.
- Supporting ways to make protocol feasibility assessments more efficient for novel studies
- 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 Analytics, 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
- Minimum of 4 years in a data science-related leadership role with a successful track record of team execution at a growing company, ideally in a space similar to ours.
- Demonstrated experience in Agile methodologies and ability to translate business goals into discrete, tactical execution plans while adapting to evolving technical and business constraints.
- 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
- 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
- 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 erse and underserved populations
- Expertise in Python and/or R (Clojure welcome too!), and deep familiarity with corresponding analytics, visualization, and data processing libraries
- Capable SQL skills and ability to navigate and work with data from a variety of internal and external databases (e.g. Postgres), APIs, and management systems
- 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
- Competitive salary and stock options
- Remote-first! Work from anywhere.
- Flexible PTO & working hours
- Up to 16 weeks 100% paid parental leave
- 100% paid health coverage for employees with option of HSA: Includes employer HSA contribution of $400 for iniduals or $800 for families
- Additional plans available at >70% premium coverage
- 100% employer-sponsored dental & vision plans for employees
- Supplementary, low-premium benefits: Short-term/Long-term disability, voluntary life insurance, pet insurance(!), legal & identity protection
- Free access for employees and dependents to health care advocacy team (Alight Health Pros), and 24/7 telemedicine access (Eden Health)
- 401(k) retirement plan with 4% employer match
- Company-provided laptop
- $1300 annual home office reimbursement
- Team Fun: Regularly scheduled virtual events
- Annual fitness and weight loss reimbursements: Up to $150 each per year
- Learning and Development: Your very own LinkedIn Learning license so that you can upskill or just learn something new!
- Access to Benefits Marketplace: A special discount hub for Reify employees to access deals on things like electronics & home goods to wireless service or travel
- Guardian’s College Tuition Benefit Program: Enroll any child dependents under the age of 17 for up to $4000 per year towards college tuition
We value ersity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status.
Note: Reify Health is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that Reify works with a Professional Employer Organization.
For a detailed overview of Reify Health's privacy policy, please visit www.reifyhealth.com/privacy-policy. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).
