1

Scientific Manager Jobs in Raleigh, NC (NOW HIRING)

Supporting the pharmacovigilance and benefit-risk management of the assigned portfolio of GSK global assets to ensure Patient Safety globally. Key Responsibilities Scientific/Medical Knowledge PV ...

Supporting the pharmacovigilance and benefit-risk management of the assigned portfolio of GSK global assets to ensure Patient Safety globally. Key Responsibilities Scientific/Medical Knowledge PV ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

next page

Showing results 1-20

Scientific Manager information

See Raleigh, NC salary details

$27.5K

$88.6K

$144.5K

How much do scientific manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for scientific manager in Raleigh, NC is $88,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,277.00 and $111,156.00 per year, depending on experience, location, and employer.

What are Scientific Managers?

Scientific Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as universities, research institutes, or private companies. They coordinate research activities, manage budgets and resources, ensure compliance with regulations, and often serve as a bridge between scientists and administrative staff. Scientific Managers may also help set research priorities, facilitate communication among stakeholders, and support the professional development of research staff. Their role is essential in ensuring that scientific projects are completed efficiently, on time, and within budget.

What are some common challenges Scientific Managers face when leading multidisciplinary research teams?

Scientific Managers often navigate the complexities of coordinating team members from diverse scientific backgrounds, each with their own methodologies and communication styles. Ensuring clear project goals, facilitating effective collaboration, and managing timelines can be challenging, especially in fast-paced research environments. Additionally, balancing administrative duties with scientific oversight requires strong organizational and leadership skills. Successful Scientific Managers foster a culture of open communication and continuous learning to overcome these challenges.

What are the key skills and qualifications needed to thrive as a Scientific Manager, and why are they important?

To thrive as a Scientific Manager, you need a strong background in scientific research, project management experience, and typically an advanced degree (such as a PhD or MSc) in a relevant field. Familiarity with laboratory information management systems (LIMS), data analysis software, and compliance with regulatory standards is crucial. Leadership, strategic thinking, and excellent communication skills distinguish top performers in this role. These skills and qualifications are vital to effectively oversee research teams, ensure project success, and bridge the gap between science and organizational objectives.

What is the difference between Scientific Manager vs Research Scientist?

AspectScientific ManagerResearch Scientist
Required CredentialsAdvanced degrees (Master's or PhD), management trainingTypically PhD or Master's in a scientific field
Work EnvironmentOversees projects, manages teams, strategic planningConducts experiments, data analysis, publishes findings
Employer & Industry UsageResearch institutions, biotech, pharma companiesUniversities, research labs, industry R&D
Common Search & ComparisonOften compared for leadership roles in scienceCompared for hands-on research roles

The main difference is that Scientific Managers focus on overseeing research projects and managing teams, while Research Scientists are primarily involved in conducting experiments and generating scientific data. Both roles require advanced degrees, but Scientific Managers also need leadership and management skills to coordinate research efforts effectively.

What are the most commonly searched types of Scientific jobs in Raleigh, NC? The most popular types of Scientific jobs in Raleigh, NC are:
What job categories do people searching Scientific Manager jobs in Raleigh, NC look for? The top searched job categories for Scientific Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Scientific Manager jobs? Cities near Raleigh, NC with the most Scientific Manager job openings:
Scientific Solutions Partner- Eastern US

Scientific Solutions Partner- Eastern US

TetraScience

Durham, NC • On-site

Full-time

Life, Retirement, PTO

Posted 22 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.


The Role

The Scientific Solutions Partner is a new role born from a deliberate strategic choice: the most effective way to sell TetraScience’s Scientific Data and AI Cloud is to have one person who can credibly do both — win the scientific and technical confidence of the customer and manage the commercial relationship to close. No separate Account Executive needed.

This is not a traditional Account Executive role with a presales overlay. The Scientific Solutions Partner owns the full customer engagement, from prospecting and discovery through technical solutioning, proof-of-concept, RFP response, and close — and remains accountable for the account’s health, expansion, and renewal alongside the Delivery Manager. Both roles share accountability for identifying and progressing expansion opportunities within their accounts.

You will work with the world's largest enterprise biopharma, biotech, and life sciences companies, helping them understand how the Tetra Scientific Data Foundry and Tetra OS transforms siloed, raw scientific data into AI-ready scientific datasets across the medallion architecture (bronze → silver → gold → AI-native). You will engage audiences ranging from bench scientists and data engineers to CDOs, VPs of Divisional IT, VPs of Scientific areas, and digital transformation executives.

TetraScience provides its SSPs with AI-powered tools — including Claude Cowork and Codex — that automate RFPs, triage, and contracting workflows, enabling each SSP to operate with the leverage of a larger team.

What You’ll Do

Scientific & Technical Engagement

  • Lead technical discovery: understand the customer’s current lab data landscape — instruments, data formats, informatics stack, and data science ambitions
  • Design and present compelling solution architectures aligned to the customer’s specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets) as well as understanding their core data management pain points and goals.
  • Always be leading with demo’s of actual software aligned to the customers main value levers.
  • Own and drive proof-of-concept and proof-of-value engagements, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry’s capabilities
  • Own RFP technical responses end-to-end, synthesizing platform capabilities, scientific use cases, and customer-specific requirements into compelling, accurate submissions
  • Articulate the medallion data architecture in scientific and business terms: how bronze (raw scientific data), silver (harmonized Tetra Data), and gold (analysis-ready datasets) each create value, and how TetraScience’s AI-native layer accelerates scientific outcomes
  • Stay current on the scientific and informatics landscape — relevant assay workflows, instrument vendors, SDMS/ELN/LIMS/analytical software integrations, and AI/ML use cases in drug discovery and development

Commercial Ownership

  • Prospect, qualify, and build territory pipeline in alignment with the TetraScience go-to-market strategy
  • Relentlessly identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts
  • Manage the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar)
  • Maintain a rigorous, accurate pipeline with consistent forecasting and visibility to leadership
  • Build and expand relationships across the customer organization, from individual contributors to executive sponsors
  • Identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts
  • Partner with the Delivery Manager to ensure smooth handoff from sales to delivery, maintaining continuity of scientific context

Market & Thought Leadership

  • Represent TetraScience at industry conferences, seminars, and customer events as a scientifically credible voice
  • Contribute customer and market insights back to product, marketing, and science teams to inform roadmap and messaging
  • Help develop compelling content — case studies, solution briefs, demo narratives — that advances the category

Requirements

What You Bring

  • A Bachelors in a life science, chemistry, or engineering discipline is required. A MS or PhD is highly preferred; equivalent practical experience considered
  • 5+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains
  • Direct experience in pharma, biotech, or CRO/CDMO environments — either as a scientist, scientific software professional, or sales/solutions professional serving these customers
  • Demonstrated ability to lead technical sales cycles in enterprise SaaS or scientific software, including POC design and execution and RFP ownership
  • Deep familiarity with laboratory workflows and data: you understand what it means when a customer has 50 instruments generating unstructured data that no one can analyze
  • Fluency with scientific data concepts: file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets
  • Ability to learn modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar)
  • Strong executive presence — equally compelling in a whiteboard architecture session and a C-suite business case conversation
  • Ability CRM and digital sales tools (Salesforce, LinkedIn Sales Navigator, ZoomInfo, SalesLoft, or equivalent)
  • Ability to travel (approximately 25%) to client sites within assigned region
  • You must reside in or near New Jersey or Boston, MA

Benefits

  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Company paid Life Insurance, LTD/STD