At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

In this role, you will be a key contributor within Target RWE’s Quantitative Sciences (QS) organization. You will help ensure that Target’s data are reliable, well-understood, and ready for scientific and regulatory use. You will work with cross-functional teams to support high-quality analyses, contribute to data validation and curation processes, and help build scalable analytic workflows that enable efficient and reproducible real-world evidence (RWE) generation.

Working closely with partners across Product, Engineering, Clinical Operations, Medical Science, and Commercial teams, you will support the design and execution of analyses that demonstrate the value of Target’s data, inform research questions, and contribute to scientific and client-facing deliverables.

What You’ll Do

1. Data Quality and Stewardship

• Help ensure Target’s data are accurate, complete, and ready for analysis.
• Contribute to data validation, quality checks, and “fitness-for-use” assessments.
• Develop growing expertise in Target’s data structure, provenance, strengths, and limitations.
• Support the creation and upkeep of data documentation, dictionaries, and metadata.
• Assist in developing scalable processes that promote trust, transparency, and reproducibility.

2. Analytical Excellence

• Support rigorous, reproducible real-world evidence generation.
• Assist in the design and execution of retrospective and prospective analyses using Target RWE datasets.
• Write analytic code for descriptive, comparative, and predictive analyses under the guidance of senior scientists.
• Contribute to scalable and reusable analytic workflows and code structures.
• Apply best practices in coding, version control, methodology selection, and documentation.
• Help transform analytic findings into clear visualizations, summaries, and insights.
• Support the development of publications, abstracts, and scientific presentations.

3. Cross-Functional Collaboration

• Work closely with internal teams to translate data into scientific and strategic value.
• Collaborate with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams to align on data strategy and analytic priorities.
• Participate in internal discussions and occasional client meetings to support data interpretation and analytic understanding.
• Share insights about Target’s data assets to help inform decision-making, product development, and customer-facing materials.

What You’ll Bring

• Master’s degree in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field (or equivalent experience).
• 3–5 years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).
• Strong programming skills in R and familiarity with reproducible analytic workflows.
• Experience with data cleaning, validation, quality checks, or curation processes.
• Demonstrated ability to write clear, maintainable, well-documented code.
• Strong analytical, problem-solving, and conceptual thinking skills.
• Excellent communication and collaboration skills with technical and scientific partners.
• Ability to translate analytic outputs into clear, actionable insights.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

WHO WE ARE

Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

Founded based on a transformative technology invented at the University of Washington, Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and a software tool for data analysis.

Parse Biosciences is based in Seattle, Washington's vibrant South Lake Union district, where we recently opened a 34,000 square foot headquarters and state-of-the-art laboratory.

THE POSITION

As a Technical Application Scientist (TAS) you will be a central influence in delivering a world-class customer experience with a focus on technical troubleshooting and general platform inquiries. As a key member of the Application Support Team, you will assist in the development and continuous improvement of commercial processes and strive to ensure customer success. In this role you will work cross-functionally with several internal teams, including the Field Application Scientists (FAS), Bioinformatics Application Scientists (BAS), Research & Development, Sales, and Marketing teams to ensure customer outreach is conducted in a cohesive and expeditious manner.

IN THIS POSITION, YOU WILL:

• Work within the global Application Support team to provide direct support to customer inquiries and global distributors to include, but not limited to, product information and troubleshooting.
• Log, manage, and report customer support inquiries through multiple channels (CRM, support platforms, email)
• Escalate and resolve customer troubleshooting cases to quickly provide solutions for partners in Field Application, R&D, Product Management, Manufacturing, and Sales as needed
• Be the Voice of the Customer (VOC) and distill, quantify, and actively represent customer feedback to internal teams, using your “customer perspective” to advocate for the user experience
• Lead in-house and virtual technical product trainings for the Sales and Support teams
• Create educational and instructional content for customers and internal stakeholders
• Stay up to date in the rapidly evolving field of single-cell genomics and relay observations of market shifts to leadership

FOR THIS POSITION, WE LOOK FOR

• Minimum of a BA/BS in Chemistry, Biochemistry, Molecular Biology or Genetics
• Minimum of one (1) year of experience in a customer-facing role supporting genomics products
• Experience with next-generation sequencing platforms and library preparation, cell culture, RNA-Seq
• A proactive and collaborative approach to problem solving
• Outstanding communication skills, written and verbal, as well as excellent interpersonal skills
• Someone who works well in a fast-paced, dynamic environment
• Proficiency with MS Office and Google Suite (Mail, Calendar), CRM (e.g. Hubspot, Salesforce), and ideally Monday.com (or similar for project management)
• Knowledge of gene expression data analysis, analysis tools, basic command line knowledge is highly desired

JOB CONDITIONS

• This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. 
• Regular communication and collaboration with customers and team members will occur virtually through zoom meetings, instant messaging, and email. 
• Travel requirements: This position may include travel on occasion to attend conferences and meetings or training at the company headquarters in Seattle. 
• This position requires extensive computer time.
• You must be able to work in and around a laboratory environment (when needed for trainings in HQ)

Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.

As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

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