United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Scientist in Epidemiology and Patient Data Products in United States.
In this role, you will lead high-impact research that drives the next generation of data-driven drug discovery and patient-centric insight generation. You will operate at the intersection of epidemiology, real-world data, and advanced analytics, guiding complex initiatives that shape decisions across early discovery and translational science. Working closely with multidisciplinary experts, you will design studies, manage sophisticated datasets, and translate findings into actionable recommendations. This position offers the opportunity to shape scientific strategy, mentor technical teams, and tackle open-ended problems requiring creativity and scientific rigor. It is an environment built for innovation, curiosity, and delivering meaningful impact on global health.
Accountabilities
- Lead large-scale epidemiological and data science research programs from concept to delivery, integrating multiple real-world data workstreams such as electronic health records, longitudinal patient datasets, and multi-omics resources.
- Mentor and guide technical team members while serving as a senior consultant to cross-functional groups across translational data science, including computational biology, statistical genetics, and knowledge graph development.
- Act as a project leader with external partners, transforming scientific questions into robust observational study designs and producing high-value insights tailored to diverse audiences.
- Collaborate with program management and data science teams to define scope, build timelines, allocate resources, and manage execution using agile tools such as Jira.
- Navigate scientific uncertainty with creativity, proposing novel approaches where standard methodologies may not yet exist.
- Conduct advanced analyses in R and Python across large-scale global patient data environments, including EMR datasets, sequencing information, and multi-omics modalities.
- Uphold shared analytic standards, champion reproducibility, and contribute to best practices across the broader data science organization.
Requirements
- PhD in epidemiology or biostatistics with at least seven years of experience, or MPH/MS with ten or more years leading epidemiological, statistical, or machine-learning projects using real-world patient data.
- Expertise in observational study design and statistical analysis of cohort and longitudinal data drawn from electronic health records or other large-scale real-world datasets.
- Strong command of biostatistical approaches, including inferential and predictive modeling, plus familiarity with integrating causal inference and machine-learning techniques.
- Experience applying or exploring large language model applications for data curation and insight extraction in real-world data settings.
- Proficiency using agile project management tools such as Jira and confidence coordinating timelines and multi-team workflows.
- Demonstrated experience leading complex research initiatives with tangible business or scientific impact and delivering insights to leadership stakeholders.
- Advanced programming skills in Python and/or R, with proven experience conducting data manipulation and statistical modeling.
- Experience acting as an external-facing project leader, managing client expectations, and facilitating communication across stakeholders.
- Comfort operating in ambiguous, fast-paced environments; experience working in start-up or highly cross-functional settings is a strong plus.
- Optional strengths include experience in neurodegenerative research, background in drug discovery processes, familiarity with clinico-omics datasets, and two or more years mentoring or managing direct reports.
Benefits
- Remote salary range between 180,000 and 230,000 USD; California salary range between 210,000 and 270,000 USD.
- Total compensation based on experience, expertise, and demonstrated competencies.
- Comprehensive healthcare coverage including medical, dental, and vision.
- Retirement benefits and participation in an annual incentive program.
- Additional perks, flexibility options, and a broad suite of employee benefits.
- Permanent U.S. work authorization required; sponsorship is not available for this position.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. Their internal hiring team then decides next steps such as interviews or additional assessments.
