Molecular Bioengineer

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.

We're looking for a Molecular Bioengineer to lead the design, optimization, and productization of NGS workflows on Callisto. This is a hands-on, high-impact role at the intersection of molecular biology, biochemistry, engineering, and automation.

You will architect complete assays\u2014from early experimental design to manufacturable, scalable workflows. You'll work closely with Systems Integration, R&D, Software, and Manufacturing team to build robust, reproducible protocols that customers rely on every day.

Day 1 to Year 1

• Design, optimize, and validate core NGS assay steps including enzymatic fragmentation, hybrid capture, size selection, and PCR-free workflows.
• Translate manual bench-top chemistry into automated protocols compatible with Callisto's fluidics architecture.
• Prototype new assay components rapidly to generate early biological data.
• Define reagent schemas, deck layouts, buffer interactions, hardware tolerances, and consumable requirements.
• Collaborate with automation and software engineers to ensure seamless execution and reliability on-platform.
• Troubleshoot biological QC deviations, size distribution discrepancies, and regional coverage biases.
• Partner with manufacturing to prepare workflows for scale-up and commercial release.
• Contribute to standardization across Apps and help shape a unified architecture for workflow design.

Within 3 months you'll\u2026Ramp up on Callisto architecture, assay modules, and workflow constraints. Learn our cross-functional processes\u2014requirements gathering, kit development, and productization flow. Take ownership of selected App workflows and begin designing experiments to refine protocol variants.

Within 6 months you'll\u2026Fully own molecular workflow development across one or more NGS applications. Independently troubleshoot biology\u2013automation interactions (fragmentation variability, GC bias, dropouts, bead handling issues). Propose improvements to assay design or platform capabilities and begin implementing mid-sized initiatives.

Within 12 months you'll\u2026Lead development of new workflow features and next-generation assay architectures. Influence long-term platform design decisions from the perspective of assay scalability and automation constraints.Act as a key contributor to roadmap planning and cross-functional prioritization. Support manufacturing transfer and ensure workflows are robust, reproducible, and ready for scale.

Who You Are

• Master's + 4 years OR PhD + 1 year in Molecular Biology, Bioengineering, Biochemistry, or related field.
• Strong hands-on experience with molecular workflows; NGS library prep experience strongly preferred.
• Skilled in experimental design, assay optimization, and troubleshooting complex molecular systems.
• Familiarity with automated liquid handling or integrated systems.
• Experience with Illumina, Oxford Nanopore, PacBio, or similar sequencing platforms.
• Proficient in Python, R or similar languages for data analysis and workflow scripting.
• Effective communicator and collaborator across R&D, automation, software, and manufacturing teams.
• Excellent documentation habits; comfortable working in a fast-paced, evolving environment.

Nice to Have

Deep NGS library prep specialization.Experience with hardware integration or microcontrollers.Git/version control familiarity.Exposure to manufacturing transfer or high-scale assay development.Openness to leveraging LLMs for workflow development and analysis acceleration.

$90,000 - $110,000 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.

This is a full-time position that requires a significant amount of in-person work and collaboration onsite at our Seaport Office in Boston, MA. If you are unable to relocate or commute to the Boston MA area, this role won't be a match.

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. 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.