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Optum Data Science Jobs in Maryland (NOW HIRING)

Specialty Pharmacy Liaison

Baltimore, MD · On-site

$18 - $32/hr

  • Retirement

Specialty Pharmacy Liaison Explore opportunities with CPS, part of the Optum family of businesses ... Data/order entry and verification of patient information * Providing direct support to enrolled ...

Optum Data Science information

What is an Optum Data Science?

An Optum Data Science job involves using data analytics, machine learning, and statistical methods to derive insights that improve healthcare outcomes and operational efficiency. Data scientists at Optum work with large datasets to identify trends, develop predictive models, and support decision-making for healthcare providers, payers, and patients. They collaborate with cross-functional teams to drive innovation in areas such as patient care optimization, fraud detection, and cost reduction. Strong programming skills, domain knowledge in healthcare, and expertise in data modeling are typically required for this role.

What types of projects do data scientists at Optum typically work on?

Data scientists at Optum commonly work on projects that involve analyzing large healthcare datasets to identify trends, improve patient outcomes, and optimize operational efficiency. This may include developing predictive models for disease risk, healthcare cost forecasting, or creating data-driven solutions to enhance clinical workflows. Team members frequently collaborate with clinicians, business analysts, and IT specialists, ensuring their work has a real-world impact on healthcare delivery. These projects often require innovative problem-solving and the ability to communicate insights to cross-functional teams, making the work both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Optum Data Science position, and why are they important?

To thrive as an Optum Data Science professional, a strong background in statistics, machine learning, data analysis, and a degree in a quantitative field such as computer science or mathematics are essential. Experience with programming languages like Python or R, data visualization tools, and familiarity with big data platforms (e.g., Hadoop or Spark) are commonly required, along with relevant certifications. Analytical thinking, strong communication, and the ability to collaborate effectively with both technical and non-technical stakeholders are critical soft skills. These skills enable data scientists at Optum to extract meaningful insights from complex healthcare datasets and drive impactful business decisions.

What are the most commonly searched types of Optum Data Science jobs in Maryland?

The most popular types of Optum Data Science jobs in Maryland are:

Infographic showing various Optum Data Science job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Director Health Economics & Outcomes Research (HEOR)

BioNTech SE

Gaithersburg, MD • On-site

$168K - $268K/yr

Full-time

Re-posted 3 hours ago


Job description

London, United Kingdom; Cambridge, US; Gaithersburg, US; Mainz, Germany; New Jersey, US   |   full time   |   Job ID: 11271 

About the role:

As the Global HEOR Director, you will be at the forefront of advancing BioNTech's mission by driving impactful health economics and outcomes research strategies. In this role, you will shape value evidence-based approaches that contribute to global market access and reimbursement success, ensuring patients worldwide benefit from our innovative therapies. You'll collaborate with cross-functional teams in a dynamic environment that values scientific rigor and methodological advancements.

Your work will directly influence clinical development decisions, regulatory submissions, and payer communications & interactions. By leveraging your expertise in HEOR methodologies, real-world evidence, and cost-effectiveness analysis, you'll play a pivotal role in enhancing BioNTech's ability to deliver transformative treatments to diverse populations.

Your contribution:

  • Develop and execute Global value evidence generation plans for systematic literature reviews (SLR), indirect treatment comparisons (ITC), cost-effectiveness analyses (CEA), budget impact analyses (BIA), real-world evidence (RWE), and patient-reported outcomes (PRO) to optimize clinical development decisions across all stages of drug development 
  • Conduct global epidemiology literature reviews to inform multi-regional clinical trial site selection and recruitment strategies
  • Provide guidance on FDA regulations related to patient-reported outcomes (PROs) and patient-focused drug development (PFDD), ensuring alignment with labeling claims
  • Prepare regulatory-grade documents such as FDA/Global Regulatory briefing books for PRO Endpoint implementation, epidemiology, and pediatric investigation plans
  • Lead the implementation of robust evidence synthesis strategies to support global pharmaceutical launches and reimbursement dossiers across HTA markets & Non HTA Markets like PICOS Simulation/Scoping, PICOS feasibility assessment and development JCA dossiers
  • Lead the development of early advice (EA) dossiers (Country level and JSC) and actively participate in discussion with relevant stakeholders on the value of the clinical program. Stay at the forefront of industry trends and integrate emerging methodologies into evidence synthesis plans including the use of AI in SLR/ITCs/ RWE and Global Value Evidence tool kit development
  • Collaborate with key opinion leaders, including medical experts, through structured engagements like advisory boards and Delphi panels
  • Develop pre-approval dossiers, launch models (CEA/BIA), tools, relevant Health Care Economic Information (HCEI) training materials to support US Account Management teams, Medical Science Liaisons, and field-based HEOR professionals
  • Support other HEOR team members by reviewing their evidence generation plans, publications and offering constructive- solution oriented feedback.
  • Mentor HEOR fellows and early-career team members while providing constructive feedback on evidence generation plans 

 

A good match:

  • MS required; Doctoral degree (PhD/PharmD/MD) preferred in Public Health, Epidemiology, Health Economics, or related fields with significant experience conducting HEOR research 
  • At least 5 years of relevant experience (or 10 years with MS degree) conducting HEOR research across methodologies such as SLR, ITC/NMA/MAIC/STC, CEA/BIA models, RWE designs, and PRO analytics 
  • Expertise in US/Ex-US real-world data sources (e.g., Komodo, Optum, Medicare RIF) with proficiency in study design evaluation and improvement
  • Experience with eCOA implementation preferred; familiarity with FDA COA Type C meetings and negotiating PRO label claims a plus
  • Proven track record of peer-reviewed publications showcasing HEOR expertise across multiple domains
  • Deep understanding of EU-HTA requirements including JSC/EA/JCA implementation alongside knowledge of global health technology assessment guidelines
  • Excellent communication skills with experience presenting HEOR research to payers/population health decision-makers

Join BioNTech's dedicated team to lead transformative health economics research that shapes the future of healthcare globally!

Your benefits and remuneration:

If the position is filled in the US, the Expected Pay Range is $168,100/year to $268,700/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities. 
Compensation at other locations may vary significantly. 

BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate's qualifications and experience.

Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.

How to apply:

Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.

Please note:

Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.

We are looking forward receiving your application.