Research Scientist, Clinical Innovation & Trend Analytics

Jobgether; United States; Remote; USD 78,000 - 108,000; Full time

Benefits offered by this job

Fully remote work in the US

Health insurance

401(k) retirement plan

Paid time off

Paid holidays

Parental leave

Disability insurance

Life insurance

Travel occasional

Job summary

Jobgether is seeking a Research Scientist, Clinical Innovation & Trend Analytics, to join a fully remote role based in the United States. You will apply advanced statistical methods and epidemiological research to identify opportunities to improve Medicare Advantage outcomes and reduce costs.

In this position you will work with clinicians, informaticists, and business partners, building analytical datasets and predictive insights using SQL, SAS, and Python.

Qualifications

• Master's degree in a quantitative or research-related discipline.
• At least 2 years of healthcare analytics or related experience.
• Proficiency in SQL, SAS, and Python.
• Experience applying statistical methods to transform datasets into insights.
• Experience with experimental or quasi-experimental methods.

Responsibilities

• Conduct exploratory analyses of healthcare populations and trends to identify opportunities for reducing costs and improving outcomes.
• Analyze large, complex datasets to identify patterns and estimate the impact of interventions.
• Collaborate with clinicians and informaticists to define concepts and extract information from claims data.
• Develop datasets, variables, and features to support modeling and research initiatives.
• Write and maintain analytical code in SQL, SAS, and Python to process large healthcare data.

Skills

SQL

SAS

Python

Epidemiology

Biostatistics

Data science

Education

Master's in Epidemiology or related quantitative field

Tools

PySpark

Databricks

Azure

Power BI

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Research Scientist, Clinical Innovation & Trend Analytics based in the United States.As a Research Scientist, Clinical Innovation & Trend Analytics, you will use advanced statistical methods, epidemiological research, and large-scale healthcare data to identify opportunities for improving clinical outcomes and reducing healthcare costs. You will play a key role in shaping evidence-based clinical strategies and innovative healthcare initiatives that positively impact millions of Medicare Advantage beneficiaries. Working within a multidisciplinary team, you will collaborate with clinicians, clinical informaticists, and strategic business partners to investigate healthcare trends and evaluate potential interventions. You will design and conduct rigorous research studies, analyze complex medical data, and develop predictive insights to support informed decision-making. Using tools such as SQL, SAS, and Python, you will transform extensive datasets into actionable findings and measurable business recommendations. This fully remote opportunity offers the chance to combine scientific expertise, advanced analytics, and healthcare innovation to make a meaningful difference in population health.

Accountabilities

• Conduct exploratory analyses of healthcare populations, clinical conditions, and emerging trends to identify opportunities for reducing healthcare costs and improving patient outcomes.
• Analyze large and complex healthcare datasets to identify patterns, assess relationships between variables, and estimate the potential impact of clinical interventions.
• Collaborate with clinicians and clinical informaticists to define clinical concepts and extract relevant information from medical, pharmacy, and laboratory claims.
• Develop analytical datasets, variables, and features to support statistical modeling, research initiatives, and clinical decision‑making.
• Apply a broad range of analytical approaches, from descriptive statistics and trend analysis to advanced epidemiological research methods.
• Design and conduct clinical outcomes studies and program evaluations using randomized controlled trials, propensity score matching, difference‑in‑differences models, and other experimental or quasi‑experimental methodologies.
• Perform literature reviews and intervention research to evaluate engagement rates, treatment effectiveness, and potential outcomes of initiatives in early stages of development or implementation.
• Assess clinical intervention opportunities by analyzing treatment effect sizes, population characteristics, and relevant evidence from scientific research.
• Write and maintain analytical code using SQL, SAS, and Python to extract, organize, transform, and analyze large healthcare datasets.
• Develop statistical models, analytical variables, visualizations, and charts to communicate research findings and support scientific investigations.
• Translate complex analytical results into clear insights, practical recommendations, and actionable business opportunities.
• Present research findings and strategic recommendations to clinicians, business partners, and other stakeholders, ensuring that results are communicated effectively.
• Collaborate with multidisciplinary teams to deliver high‑quality analytical projects aligned with departmental and organizational objectives.
• Understand broader business strategies, operational priorities, and their connections to clinical innovation and healthcare performance.
• Exercise independent judgment when selecting research methodologies, interpreting findings, and addressing complex or ambiguous analytical challenges.
• Contribute to the continuous improvement of research methodologies, analytical processes, and evidence‑based clinical strategies.

Requirements

• Master's degree in a quantitative or research‑related discipline, such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, or a related field.
• At least 2 years of relevant professional experience in healthcare analytics, research science, epidemiology, biostatistics, data science, or a related discipline.
• Demonstrated proficiency in SQL, SAS, and Python, with the ability to create datasets and analytical variables from large and complex data environments.
• Experience applying statistical and research methodologies to transform extensive datasets into meaningful, actionable insights.
• Practical experience with experimental and quasi‑experimental research methods, including randomized controlled trials, propensity score matching, and difference‑in‑differences modeling.
• Strong understanding of statistical analysis, epidemiological principles, hypothesis testing, and research design.
• Ability to analyze complex healthcare data, identify meaningful trends, evaluate cause‑and‑effect relationships, and assess potential clinical and financial outcomes.
• Experience collaborating within multidisciplinary teams to deliver rigorous analytical work and communicate findings to business stakeholders.
• Excellent written and verbal communication skills, with the ability to explain technical research findings and statistical concepts to both technical and non‑technical audiences.
• Strong analytical thinking, problem‑solving abilities, and attention to detail.
• Ability to work independently, exercise sound judgment, and select appropriate research approaches in situations involving ambiguity.
• Strong organizational skills and the ability to manage multiple research priorities while meeting project deadlines.
• A collaborative and proactive mindset, with a genuine interest in applying scientific research and data analytics to improve healthcare delivery.

The Following Qualifications And Experience Are Considered An Advantage

• Previous professional experience in healthcare, health insurance, or managed care environments.
• Experience working with medical, pharmacy, and laboratory claims data.
• Familiarity with clinical terminology, healthcare concepts, and a broad range of medical conditions and disease states.
• Demonstrated knowledge of hypothesis testing, advanced statistical methods, comparative effectiveness research, and modeling techniques.
• Experience using PySpark, Databricks, Microsoft Azure, or Power BI.
• Strong interest in healthcare innovation and a passion for improving clinical outcomes, population health, and healthcare affordability.
• Experience translating complex analytical findings into recommendations that support strategic business and clinical decisions.

Benefits

• Annual base salary: $78,400–$107,800, depending on geographic location, qualifications, education, professional experience, and relevant skills.
• Eligibility for a performance‑based bonus incentive plan tied to individual and/or organizational performance.
• Comprehensive medical, dental, and vision insurance coverage.
• 401(k) retirement savings plan.
• Paid time off to support personal and professional well‑being.
• Paid company holidays and personal holidays.
• Paid parental leave.
• Paid caregiver leave.
• Short‑term and long‑term disability insurance.
• Life insurance coverage.
• Fully remote working arrangement, available to candidates residing anywhere in the United States.
• Flexible working environment designed to support work‑life balance and employee well‑being.
• Opportunities to collaborate with experienced clinicians, researchers, data scientists, and healthcare strategy professionals.
• Professional opportunities to contribute to innovative, evidence‑based healthcare initiatives with meaningful population‑level impact.
• Occasional business travel for office meetings or training sessions.

Additional Employment Information

• This position is not eligible for employment visa sponsorship.
• Candidates must have a dedicated and secure home workspace that complies with applicable healthcare privacy and HIPAA requirements.
• A reliable internet connection with minimum download speeds of 25 Mbps and upload speeds of 10 Mbps is required.
• Occasional travel may be required for business meetings and training.

How Jobgether Works

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑finishing candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.