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Senior Scientific Officer Jobs (NOW HIRING)

Senior Scientific Data Engineer

Cambridge, MA ยท On-site

$115K - $157K/yr

... our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you ... As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions ...

The IVB Team Lead - Senior Scientist will lead the cattle stem cell and advanced reproduction ... This position reports to the Chief Scientific Officer, Recombinetics (URUS Innovation Group) and ...

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Senior Scientific Officer information

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$47K

$118.5K

$156K

How much do senior scientific officer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior scientific officer in the United States is $118,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the responsibilities of a senior scientific officer?

A Senior Scientific Officer typically leads scientific research projects, manages laboratories or research teams, and ensures the quality and integrity of experimental results. They are responsible for designing experiments, analyzing data, preparing reports, and publishing findings in scientific journals. Additionally, they often mentor junior staff, oversee compliance with safety and regulatory standards, and may contribute to strategic planning within their organization.

What is the difference between Senior Scientific Officer vs Scientific Officer?

AspectSenior Scientific OfficerScientific Officer
Required CredentialsBachelor's or Master's degree in science, with experience; often requires additional certificationsBachelor's degree in science or related field; entry-level or early-career
Work EnvironmentLaboratories, research facilities, field sitesLaboratories, research facilities, administrative settings
Employer & Industry UsageResearch institutions, government agencies, biotech companiesResearch labs, government departments, industry sectors
Common Search & ComparisonOften compared for experience level and responsibilitiesEntry-level role, often the starting point for scientific careers

The main difference between a Senior Scientific Officer and a Scientific Officer lies in experience, responsibilities, and seniority. Senior Scientific Officers typically have more experience, handle complex projects, and may oversee junior staff, whereas Scientific Officers are usually entry-level or early-career professionals focused on supporting research activities.

What is a senior scientific officer?

A senior scientific officer is a professional responsible for conducting research, analyzing data, and overseeing scientific projects within organizations such as government agencies, laboratories, or research institutions. They often require a strong background in science, relevant certifications, and experience in laboratory techniques or data analysis tools.

What are the typical collaborative responsibilities of a senior scientific officer within a research organization?

Senior Scientific Officers frequently collaborate with multidisciplinary teams, including researchers, laboratory staff, and project managers, to design and oversee scientific studies. They play a pivotal role in coordinating research activities, ensuring compliance with protocols, and sharing findings with both internal and external stakeholders. Regular meetings, joint data analysis sessions, and cross-departmental projects are common, requiring strong communication and leadership skills. This collaborative environment fosters innovation and supports the professional growth of both the Senior Scientific Officer and their team.

What are the key skills and qualifications needed to thrive as a senior scientific officer?

To thrive as a Senior Scientific Officer, you need advanced scientific knowledge in your field, experience in research methodologies, and typically a relevant postgraduate degree (e.g., MSc or PhD). Familiarity with laboratory management systems, statistical analysis software, and compliance with regulatory standards is crucial. Strong analytical thinking, leadership abilities, and effective communication make candidates stand out in leading research teams and collaborating across departments. These skills ensure high-quality research output, regulatory compliance, and the successful advancement of scientific projects.
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What cities are hiring for Senior Scientific Officer jobs?

Cities with the most Senior Scientific Officer job openings:

What states have the most Senior Scientific Officer jobs?

States with the most job openings for Senior Scientific Officer jobs include:

Infographic showing various Senior Scientific Officer job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $118,455 per year, or $56.9 per hour.

Senior Scientific Data Engineer

TetraScience

Cambridge, MA โ€ข On-site

$115K - $157K/yr

Full-time

Life, Retirement, PTO

Re-posted 12 days ago


Job description

About TetraScience
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world's leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review "The Tetra Way," authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high-performance team members that authentically and unconditionally embrace our values:
  • Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.
  • Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.
  • Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.
  • Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.
  • Commitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things.
  • Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents, and advantages.

What You Will Do
You will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members. As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions. You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions. As a Senior Scientific Data Engineer, you will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations.
Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external.
  • Work with Product Managers and Solution Architects to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.
  • Take ownership of building data models, prototypes, and integration solutions that drive customer success.
  • Use AI agents to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries
  • Extract reusable schema components and parsing functions, and productize them into Python libraries
  • Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data
  • Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
  • Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products
  • Drive value for the customers - verify the solution fulfills their requirements and provides value
  • Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions.
  • Lead team-wide process/technology improvements on product quality and developer experience
  • Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them.
  • Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.
  • Provide mentorship to junior SDEs and show leadership in every front

Requirements
  • 8+ years of building data products as a Data Engineer or similar fields
  • 8+ years working in Python and SQL with a focus on data
  • Experience leading projects, managing requirements, and handling timelines
  • Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones
  • Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred
  • Experience working with pre-clinical data and lab scientists is strongly preferred
  • Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
  • Quickly understand a highly technical product and effectively communicate with product management and engineering.

Benefits
100% employer paid benefits for all eligible employees and immediate family members.
401K.
Unlimited paid time off (PTO).
Company paid Life Insurance, LTD/STD.
The salary range for this position is $140K-$200K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate's specific experience, localized market data, and internal team equity.
This position isn't eligible for visa sponsorship