Location: This position may be performed remotely, but requires the flexibility and willingness to travel as needed.
The Opportunity
We’re looking for a Data and Analytics Engineer III who brings both technical excellence and systems thinking to help us scale our data infrastructure and insights delivery. You’ll lead the development of robust pipelines, intuitive dashboards, and analytics tooling that directly supports our clinical, research, and operational priorities. You’ll act as a thought partner to our data science and business teams, help elevate our engineering standards, and leverage emerging technologies including the use of AI to improve efficiency and impact.
This role is ideal for someone who thrives in a fast-moving, low-ego environment where data makes a difference for patients.
Primary Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines that support cross-functional data needs
- Build, deploy, and optimize analytical dashboards and other reporting tools to support strategic decision-making
- Write well-structured, testable code in Python, R, and SQL to support analytics workflows
- Lead the development and best practices of version control, documentation, and coding standards
- Partner with data scientists to bring analytics products from prototype to production
- Identify and integrate AI-driven tools to enhance data processing and reporting capabilities
- Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement
Qualifications and Key Success Factors
- Bachelor’s degree required; Master’s degree preferred in a technical field such as Computer Science, Engineering, Data Science, or related disciplines
- 7+ years post-internship hands-on experience in a data engineering, analytics engineering, or data science role in the pharmaceutical industry
- Proficient in Python, R, SQL, with experience operationalizing analytics at scale
- Strong experience with Git and collaborative development workflows
- Experience designing data architecture and maintaining complex pipelines
- Familiarity with Databricks and other cloud platforms (e.g., Snowflake, AWS, Azure)
- Experience in applying AI to streamline or augment data workflows
- Excellent communication skills with a demonstrated ability to work across technical and non-technical teams
- Experience working with patient-level data or in regulated environments (e.g., HIPAA, GxP, FDA) preferred
- The physical and mental requirements of our roles include but are not limited to regular use of a computer, devices or other office equipment, clear communication, and occasional movement. You'll need comfort with screen work, basic hand coordination, and focus. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
Company Overview
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into the development of therapies for central nervous system disorders characterized by neuronal imbalance. At Praxis we share a common vision of reshaping the human condition into a more freeing and fulfilled existence by developing high impact medicines for patients and families affected by and living with complex brain disorders. Our core Values of Trust, Ownership, Curiosity and Results are foundational to every aspect of our business and are exemplified by each and every one of our team members.
Diversity, Equity & Inclusion
Guided by our core values, at Praxis Precision Medicines, Inc. we continue to DARE FOR MORE® to advance, promote, and champion diversity, equity, and inclusion by encouraging individuals to bring their authentic selves and perspectives to work each day. We are an equal opportunity employer and committed to providing opportunities to all qualified applicants without regard to race, religious creed, color, gender identity or expression, age, national origin, sexual orientation, disability, genetics, military service and veteran status, or any other characteristic protected by federal, state, or local laws.
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Skills Required
- Bachelor's degree in technical field
- 7+ years experience in data engineering, analytics engineering, or data science
- Proficient in Python, R, SQL
- Experience with Git and collaborative development workflows
- Experience designing data architecture and maintaining complex pipelines
- Familiarity with Databricks and cloud platforms (Snowflake, AWS, Azure)
- Experience in applying AI to data workflows
- Excellent communication skills for cross-team collaboration
- Experience with patient-level data or in regulated environments
What We Do
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into the development of therapies for central nervous system disorders characterized by neuronal imbalance. Praxis is applying insights into the genetic mutations that drive excitation-inhibition imbalance in diseases to select biological targets for rare and more prevalent neurological disorders. We share a common vision of reshaping the human condition into a more freeing and fulfilled existence by developing high impact medicines for patients and families affected by and living with complex brain disorders. Praxis is applying genetic insights to the discovery and development of therapies for rare and more prevalent neurological disorders through our proprietary small molecule platform, Cerebrum™, and antisense oligonucleotide (ASO) platform, Solidus™, using our understanding of shared biological targets and circuits in the brain.
