Senior Applied Research Scientist
6 hours ago
Senior Applied Research Scientist
Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta's ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Who We Need
Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
This Opportunity
Truveta is seeking a motivated, innovative, and technical Applied Research Scientist to join Truveta Research. Truveta Research is an internal research organization focused on demonstrating what's possible with Truveta by producing high-interest, high-quality, trusted research. As an Applied Research Scientist, you will collaborate closely with a broad set of collaborators across communications, marketing, engineering, product, and fellow scientists to push the boundaries of what can be achieved with healthcare data, transforming complex datasets into impactful research. You will have the opportunity to work with an extensive, high-quality dataset of real-world Electronic Health Records (EHR), encompassing over 100 million patients. Your work will produce findings that advance public health and patient outcomes, while upholding the highest standards of clinical and scientific rigor.
In this role, you will:
- Proactively initiate and drive applied research studies aligned with business objectives, from ideation through peer-review publication.
- Apply appropriate and rigorous methods for observational data studies, such as causal inference methods, missing data approaches, survival analysis, longitudinal data analysis, and time series analysis.
- Write, review, and maintain code (R or Python) to process, wrangle, and analyze data, identifying problems, devising solutions, and creating methodologies that drive data insights and best practices.
- Be accountable to agreed upon timelines for delivering research studies, working to communicate and manage dependencies.
- Proactively manage several projects simultaneously to maximize impact and efficiency of your work.
- Work collaboratively with internal and external stakeholders, including engineering, product, clinical informatics, and communications.
- Represent researcher input by providing feedback on the development of research solutions that enable clinicians and researchers to address real-world healthcare challenges.
Key Qualifications
- Education : PhD in Epidemiology, HEOR, Biostatistics, or a related field.
- Expertise in Applied Methods : Deep knowledge of causal inference methods with observational data, including missing data approaches, data weighting methods, generalized linear and hierarchical models, survival analysis, longitudinal data analysis, time series.
- Statistical Programming : 5+ years of hands-on experience with statistical programming in R and/or Python, with experience executing analysis plans intended for publication, particularly within the health sciences.
- Scientific publication : 5+ years of experience developing research publications, including peer-reviewed manuscripts and conference abstracts, including handling peer review.
- Cross-functional Collaboration : 3+ years of experience partnering with cross-functional teams and effectively communicating research findings and needs to non-technical stakeholders.
- Team-Oriented and Results-Driven : Proven ability to work within cross-functional teams to deliver research under tight deadlines.
- Communication : Exceptional written and verbal communication skills, able to present complex data insights and methodologies to diverse audiences.
Preferred Skills
- Thought leadership: Experience writing and/or speaking on real-world evidence, epidemiology, biostatistics, or related areas.
- Communication for lay audiences: Experience translating research findings for lay audiences.
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We Offer:
- Interesting and meaningful work for every career stage
- Great benefits package
- Comprehensive benefits with strong medical, dental and vision insurance plans
- 401K plan
- Professional development & training opportunities for continuous learning
- Work/life autonomy via flexible work hours and flexible paid time off
- Generous parental leave
- Regular team activities (virtual and in-person as soon as we are able)
- The base pay for this position is $175,000 to $200,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.
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