Senior Director, Data Development

Reposted 14 Hours Ago
Be an Early Applicant
Hiring Remotely in San Francisco, CA, USA
In-Office or Remote
245K-275K Annually
Senior level
Healthtech • Software
The Role
Lead and manage a team developing and operationalizing machine learning systems for structured and unstructured clinical data (EHR, text, imaging). Define technical strategy, oversee model lifecycle management, fine-tune and deploy foundation models, ensure data quality and model governance, partner cross-functionally, and mentor ML scientists and technical leaders.
Summary Generated by Built In

Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. 

Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.

We are driven to create quality real-world data in ophthalmology, neurology, urology, and oncology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values.

Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, MN, NC, NJ, NV, NY, OH, PA, SC, TN, TX, VA, WA. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. 

Candidates based in the Bay Area, New York City, and Knoxville, Tennessee will be give priority consideration. For these locations, the position will follow a hybrid work model, with 3 days per week in office and the remaining days working from home. 

Why Join Us?

Verana Health is revolutionizing patient care and clinical research by utilizing physician expertise and artificial intelligence to unlock the true potential of real-world data. With exclusive access to the world's largest patient data sources in oncology, ophthalmology, neurology, and urology Verana is powering real-world evidence generation. Clinicians utilize these insights to improve the quality of care and quality of life for patients, and life sciences companies rely on the insights to accelerate the development of new therapies. Verana is backed by industry leaders like Johnson & Johnson Innovation – JJDC, Inc., Novo Growth, GV, Casdin Capital, and Merck Global Health Innovation Fund. Join us to bring innovation at scale and improve patient outcomes!

We offer comprehensive benefits that include:
  • Market-leading medical, dental, and vision insurance plans
  • 401(k) match
  • Flexible time off programs
  • Paid parental leave
  • Annual learning and wellness stipend
More About Verana
  • We believe that diverse teams build better products and experiences. We are committed to creating an inclusive environment where every employee feels valued, respected, and empowered to do their best work. We welcome and encourage applications from people of all backgrounds, identities, and lived experiences.
  • Candidates must be legally authorized to work in the United States. We are unable to provide visa sponsorship (e.g., H-1B) or OPT/STEM extension support for this position at this time.
  • While we are remote friendly, we have a preference for candidates within close commuting proximity to our Bay Area or NYC office hubs.
To learn more about Verana Health, please visit veranahealth.com or watch our introduction video.  

*Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*

Job Title: Senior Director, Data Development
Lead the Application of Machine Learning to Transform Clinical Data into Scalable Healthcare Data Products

You will report directly to the Chief Data & Science Officer and solve complex real-world problems across multiple therapeutic areas, including urology, ophthalmology, and oncology. The team develops machine learning systems using structured and unstructured electronic health record (EHR) data, including clinical text and imaging data, to support Verana Qdata® products and real-world insight generation. Day-to-day activities for this team include algorithm development, data pre- and post-processing, code implementation, modeling, inference, and interpretation.

Why This Role Matters:

As a Senior Director working cross-functionally with Product Management, Engineering, and Medical, you will ensure our data products are generated with fit-for-purpose approaches and meet the necessary quality requirements. You will oversee a team that works with highly heterogeneous clinical datasets derived from EHR systems and imaging workflows, requiring rigorous approaches to validation, explainability, and scientific quality.

Built on the values of cross-functional collaboration, scientific rigor, and continuous learning, the Data & Science team strives to improve patient care by advancing the use of real-world clinical data, machine learning, and clinical expertise to generate meaningful healthcare insights.

This role is ideal for a leader who enjoys translating advances in machine learning and foundation models into reliable, clinically meaningful systems deployed in real-world healthcare environments.

What You Get to Do:

This role combines technical leadership, organizational development, and cross-functional partnership to drive the delivery of clinically meaningful machine learning systems at scale. These systems support the generation of real-world evidence and clinical insights used across research, commercial, and healthcare applications. The role requires a balance of strategic leadership and hands-on technical engagement across model development and deployment workflows.

  • Lead a team developing and operationalizing machine learning solutions for structured and unstructured healthcare data, including clinical text and imaging workflows
  • Guide the evaluation, fine-tuning, deployment, and monitoring of pretrained language models for healthcare applications
  • Help define technical strategy and development priorities for machine learning capabilities supporting Verana’s data products
  • Establish best practices for model lifecycle management, validation, reproducibility, explainability, and documentation
  • Partner cross-functionally with Product, Engineering, Medical, and Commercial teams to align technical solutions with scientific and business objectives
  • Drive high standards for data quality, model governance, and clinical relevance in production data products
  • Mentor and develop machine learning scientists and technical leaders across the organization
Skills and Experience that Will Help You Succeed:
  • Master’s or doctorate in a quantitative discipline (e.g., data science, computer science, machine learning, biostatistics, biomedical informatics, etc.)
  • 10+ years of experience applying machine learning to clinical or healthcare datasets, including recent experience deploying, fine-tuning, evaluating, or operationalizing foundation models and applied machine learning systems
  • 5+ years managing technical teams
  • Strong programming experience using Python, SQL, PySpark, R, or similar tools
  • Experience working within modern cloud-based machine learning ecosystems and deployment environments (e.g., Databricks, SageMaker, MLflow, distributed compute platforms, or similar tooling)
  • Experience moving machine learning systems from experimentation into production environments, including model evaluation, monitoring, performance optimization, and cross-functional operationalization
  • Familiarity with machine learning approaches for clinical imaging data
  • Experience working with clinical datasets derived from EHR systems and related healthcare data sources
  • Clear communication skills and able to deliver internal/external presentations, particularly to executive teams
  • Ability to work effectively with cross-functional teams, including to inform data product roadmap
  • Ability to prioritize and manage multiple initiatives with high attention to detail
Salary Range: $245,000 - $275,000 (A geographic premium may be applied to base salary)

Final note:

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.


Caution to Job Applicants: Be vigilant against potential scams. Verana Health will never ask for payment or personal information upfront. Verify company details, cross-check job offers, and trust your instincts. Any legitimate job offer will be received by a Verana Health email account (not via gmail, text or other means) Report suspicious activities to protect yourself and others in the job-seeking community.

#LI-REMOTE


Pay ranges may vary for market conditions, location, and experience.

National Pay Range
$245,000$275,000 USD

Skills Required

  • Master's or doctorate in a quantitative discipline (data science, computer science, machine learning, biostatistics, biomedical informatics)
  • 10+ years applying machine learning to clinical or healthcare datasets
  • 5+ years managing technical teams
  • Strong programming experience using Python, SQL, PySpark, R, or similar tools
  • Experience with cloud-based ML ecosystems and deployment environments (Databricks, SageMaker, MLflow, distributed compute platforms)
  • Experience moving ML systems from experimentation into production, including model evaluation, monitoring, and performance optimization
  • Familiarity with machine learning approaches for clinical imaging data
  • Experience working with clinical datasets derived from EHR systems and related healthcare data sources
  • Ability to communicate clearly and present to executive teams
  • Ability to prioritize and manage multiple initiatives with high attention to detail
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The Company
HQ: San Francisco, CA
121 Employees
Year Founded: 2018

What We Do

Verana Health is a healthcare technology and analytics company entrusted by key medical associations to manage multi-specialty, real-world data at every stage of the analytics process—from entry to evidence. Anchored in ophthalmology, neurology, and urology, the Company acts as a linchpin in the healthcare data ecosystem, making data meaningful and actionable to empower physicians and accelerate research for patients. By curating and applying advanced analytics to real-world clinical data, Verana Health helps life sciences partners enhance evidence generation, reinvent medical research, and drive innovations in specific disease areas.

Why Work With Us

At Verana Health, we have the opportunity to shape the future of medical research by harnessing the power of comprehensive clinical data sets to generate real-world evidence and answer meaningful questions in medicine. This is a company built by and for people who seek to be part of a mission-driven team committed to improving patient lives.

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