Demo

Senior Research Associate- NGS

Volta Labs, Inc.
Boston, MA Full Time
POSTED ON 8/2/2026
AVAILABLE BEFORE 10/28/2026
About Us

Volta Labs is an applications company that is revolutionizing the future of genomics. We are a Boston based, venture-backed biotech startup that makes extracting vital information from biological samples is as simple as pressing a button, through our flagship product Callisto. Our product speeds up processing time for scientists and increases accessibility to important genetic information for patients. Sitting at the intersection of science and engineering, we invite you to join us on our journey to shape the future of genomics, where insatiable curiosity is encouraged and every Voltarian makes an impact.

The Team

You'll join a team of innovative thinkers who love to experiment, collaborate, and win together. We are passionate about pushing the boundaries of automation, biology, computing, robotics, design, and user experience to benefit our customers and the world.

Reporting to a Senior Scientist on the team, you will participate in the design and development of genomics sample prep applications. Volta is building a suite of genomics applications for its disruptive digital fluidics sample prep automation platform. We are seeking an energetic, detail-oriented and collaborative individual with a desire to learn and participate in product development in an industry setting. Beyond executing established protocols, this role is ideal for someone who enjoys tinkering—asking why things work the way they do, experimenting thoughtfully, and improving workflows from first principles. You’ll encounter day-to-day experimental and operational challenges where curiosity, creativity, and practical problem-solving matter as much as prior experience.

Day 1 to Year 1

  • Execute experiments following good laboratory practice and standard protocols
  • Thoroughly document all procedures, data and observations in an electronic lab notebook
  • Summarize, present and discuss findings in team meetings
  • Actively participate in experimental design, data analysis, and report writing
  • Proactively identify inefficiencies, experimental bottlenecks, or recurring issues in lab workflows and propose practical improvements
  • Use available tools (including scripting, spreadsheets, or AI-assisted workflows) to automate repetitive tasks, improve data handling, and increase experimental efficiency
  • Assist with reagent ordering, inventory, equipment maintenance and general laboratory dutiesMaintain a clean work area and equipment in proper working order


Within the first 3 months, you’ll…

  • Ramp up on the Callisto platform, associated genomics workflows, and internal tools.
  • Learn and execute core sample prep, library prep, QC, and NGS applications under guidance from senior team members.
  • Become comfortable with lab standards, documentation practices, and data analysis workflows.
  • Begin contributing to experiments, troubleshooting efforts, and workflow optimization discussions.
  • Shadow more experienced team members during experimental design reviews, troubleshooting sessions, or internal demos


Within 6 months you’ll…

  • Independently execute and troubleshoot experiments across one or more applications.
  • Contribute meaningfully to workflow optimization efforts by identifying bottlenecks, proposing improvements, and validating changes experimentally.
  • Use scripting, spreadsheets, or AI-assisted tools to streamline repetitive tasks, data handling, or documentation workflows.
  • Help create and refine internal protocols, setup guides, and experimental documentation to improve reproducibility and team efficiency.
  • Confidently present data, insights, and recommendations in team meetings and cross-functional discussions.


At 12 months you’ll…

  • Operate as a trusted technical contributor within the Applications team, owning experiments or sub-workflows end-to-end.
  • Serve as a go-to resource for specific assays, workflows, or troubleshooting areas.
  • Help establish best practices for experimental execution, documentation, and workflow optimization.
  • Mentor newer team members through onboarding, experimental execution, or problem-solving approaches.
  • Continue improving how work gets done—whether through better experiments, clearer documentation, or smarter use of tools


$65,000 - $75,000 a year

This range reflects the target compensation for this role across our U.S. locations. Actual pay will depend on experience, education, and skill level. We regularly review our pay practices to ensure equity and fairness.

Our Benefits And Perks

  • Robust Equity Program, to build future wealth through stock options with high growth potential
  • Comprehensive Healthcare Coverage, including Medical, Dental, & Vision
  • HSA with monthly company contribution, & FSA
  • Sponsored Commuter Benefit Plans
  • Access to Our 401K Plan, to save for your future
  • 12 Weeks of Paid Parental Leave
  • Paid Time Off, because we understand the importance of time off for rest and adventure
  • 11 Paid Holidays
  • Twice Weekly Company Lunches, office snacks, beverages, & treats
  • Monthly Team Happy Hours and regular team outings!


We are an equal opportunity employer and foster diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, and we actively seek out and value diverse backgrounds and experiences.

Even if you don't check every box, but see yourself positively contributing, please apply. Help us build an inclusive community that will change the face of genomics!

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.

Salary : $65,000 - $75,000

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