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Scientific Data Analyst Jobs (NOW HIRING)

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Work with other MMTD team members to formulate analytical solutions to marine mammal management ... The Scientific Data Manager should have the following: * Master's degree in marine ecology ...

Scientific Data Manager

Miami, FL · On-site

$60K - $85K/yr

Work with other MMTD team members to formulate analytical solutions to marine mammal management ... Qualifications The Scientific Data Manager should have the following: * Master's degree in marine ...

Individuals will be handling multiple activities in a team supporting diverse NA Scientific data ... Analytical *Self-starter *Proficient in English (written & oral) *Critical Thinking *Employ ...

Scientific Data Architect- Central US

Chicago, IL · Hybrid

$65.75 - $84.50/hr

Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. * Engaged diverse audiences, from scientists to executive stakeholders ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures. Key Responsibilities * Develop, implement, and maintain ...

SWBC is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...

SWBC is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...

SWBC is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures. Key Responsibilities * Develop, implement, and maintain ...

Scientific Data Architect- Central US

Chicago, IL · On-site

$65.75 - $84.50/hr

Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. * Engaged diverse audiences, from scientists to executive stakeholders ...

Data Analyst

Lewiston, ID · On-site

$49K - $60K/yr

Relevant disciplines may include social science, data science, statistics, computer science, information systems, mathematics, business analytics, or related field. Required Qualifications:

Data Analyst

Lewiston, ID · On-site

$49K - $60K/yr

Relevant disciplines may include social science, data science, statistics, computer science, information systems, mathematics, business analytics, or related field. Required Qualifications:

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Scientific Data Analyst information

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How much do scientific data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for scientific data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Scientific Data Analyst typically collaborate with research teams and subject matter experts?

Scientific Data Analysts frequently work alongside researchers, lab technicians, and subject matter experts to interpret complex data sets and extract actionable insights. Collaboration often involves participating in project meetings to understand experimental goals, sharing preliminary analyses, and refining data collection or processing methods based on feedback. Strong communication skills are essential, as analysts must translate statistical findings into clear, meaningful recommendations for non-technical stakeholders. This teamwork ensures that data-driven decisions are closely aligned with scientific objectives and enhances the overall quality of research outcomes.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Scientific Data Analysts often focus on identifying the most impactful data subsets or features to optimize analysis and decision-making processes.

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

To thrive as a Scientific Data Analyst, you need a background in statistics, data science, and scientific research, usually supported by a degree in a quantitative field. Proficiency with statistical software (such as R, Python, or SAS), data visualization tools, and experience with databases are commonly required, along with knowledge of industry-specific data standards. Strong analytical thinking, attention to detail, and effective communication skills help convey complex findings to non-technical stakeholders. These skills and qualities ensure accurate data interpretation, reliable research outcomes, and meaningful contributions to scientific projects.

What is a scientific data analyst?

A scientific data analyst is a professional who collects, processes, and interprets complex data sets related to scientific research. They often use statistical tools, programming languages like Python or R, and data visualization software to support scientific investigations and decision-making.

Is 40 too late for data science?

A Scientific Data Analyst can start a career in data science at any age, including 40, as the field values skills in programming, statistics, and data visualization. Many professionals transition into data science later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

What jobs pay $500,000 a year?

In the field of scientific data analysis, high salaries reaching $500,000 or more are typically associated with senior roles such as lead data scientists or chief data officers, especially in large corporations or tech companies. These positions often require advanced skills in machine learning, statistical modeling, and extensive experience, along with leadership responsibilities. Compensation at this level may include base salary, bonuses, and stock options.

What are scientific data analysts?

Scientific data analysts are professionals who collect, process, and interpret large sets of scientific data to help researchers, organizations, or institutions make data-driven decisions. They often use statistical tools, programming languages, and data visualization techniques to analyze complex datasets from experiments or studies. Their insights support scientific research, improve processes, and enable more accurate results in fields such as biology, chemistry, environmental science, and healthcare.
More about Scientific Data Analyst jobs
What cities are hiring for Scientific Data Analyst jobs? Cities with the most Scientific Data Analyst job openings:
What states have the most Scientific Data Analyst jobs? States with the most job openings for Scientific Data Analyst jobs include:
Principal Scientific Data Architect

Principal Scientific Data Architect

LabAnswer

Boston, MA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Company Description

LabAnswer is the leading and largest laboratory informatics consultancy; combining science, laboratory, regulatory and information technologies. We have the people, processes, methodologies, IP and experience to deliver comprehensive laboratory informatics solutions.

LabAnswer has architected, implemented, deployed and/or supported hundreds of major scientific informatics systems across more than a thousand laboratories. LabAnswer performs significant laboratory automation work in pharmaceuticals, bio-pharmaceuticals, medical devices, forensics, and life sciences research laboratories spanning research, development and manufacturing/QC operations.

The LabAnswer team has a rare combination of laboratory science, IT, business and regulatory expertise. We specialize in helping companies strategize, architect, implement and support scientific data management and laboratory automation projects.


Job Description

We are currently seeking an individual to provide leadership in the development of the Data Architecture for such a platform. The selected candidate will possess a deep understanding of the workflows and processes within the biopharmaceutical industry, will understand the science that drives all aspects of the business from discovery to product manufacturing, and will be familiar with the nuances of managing such scientific data. Additionally, the selected candidate will possess a passion for the power of data to transform business processes, will have a clearly articulated philosophy regarding data architecture, and will be flexible enough to embrace both traditional and newer technologies for data integration and analysis.

Data Architect Duties:

Develop data and information models to integrate data as part of clients' scientific data platforms.

Abstract across multiple client data environments to find commonalities in data models and solutions

Develop scalable data integration strategies leveraging relational and NoSQL data management technologies

Develop broad data architectures that satisfy client data integrations needs and provide responsive environments for data and information analytics

Effectively communicate proposed architectures to both technologists and business leadership

Research and recommend domain specific data ontologies and taxonomies for implementation in scientific data platforms

Actively evangelize for the power of proper data architecture and information environments as key agents of change in scientific business processes

Act as an internal subject matter expert and thought leader, helping to develop and provide stewardship for a LabAnswer methodology for modeling scientific data and information.  

Qualifications

A qualified candidate will possess:

15+ years' experience in providing scientific information solutions to the biopharmaceutical industry

Experience in drug discovery, clinical development or commercial manufacture processes and lab informatics systems

Ability to effectively abstract data challenges while providing solutions that meet the needs of end users

Extensive experience in data modeling for scientific information needs

Experience with both traditional, relational data stacks and NoSQL technologies for data integration

Experience with scientific data analytics and associate tools commonly used in life sciences research and development a plus Basic Qualifications:

Ability to effectively communicate, both verbally and through electronic media

Ability to work on complex projects with general direction and minimal guidance

Proven success working within matrixed teams

Strong team player who is able to collaborate with colleagues and business stakeholders on complex tasks distributed across multiple geographic locations

Prior work experience that demonstrates innovative application of data architecture, effective analytical thinking, and attention to detail

Education: Advanced Degree in a Scientific (Chemistry, Biology,...) or Information (Computer Science, Informatics,...) related discipline.

Additional Information

We offer comprehensive benefits to regular full-time employees including but not limited to:

Unlimited ceiling for professional growth opportunities within LabAnswer

You will also have opportunities to take advantage of training programs to advance your career; our extensive online library includes a assortment of technical and professional training tools and resources

Opportunities to work across a variety of industries (Pharmaceutical, Medical Device, Consumer Products, Energy, Environmental, Forensics, Genomics, Government etc.)

Opportunities to work across a variety of laboratory environments (analytical testing, biotech, clinical trials, forensics, medical device, pharmaceutical, public health and research hospitals) Comprehensive health and welfare programs to fit your individual or family's needs:

Health Insurance Dental Insurance Vision Insurance,

401(k) Retirement Saving that includes a generous employer match

Paid Time Off (vacation, sick, holiday)

Company Paid Life Insurance

Company Paid Short and Long Term Disability Insurance

Wellness Plans and Rewards

Strong company values of team work, culture and values, personal and professional development, work-life balance, and recognition

Competitive compensation with opportunities to participate in employee bonus plan and travel bonus plan

At LabAnswer we offer a very competitive compensation package based on experience and education. We are looking for exceptional people to join our team, those who are looking to join an organization for the long term. We invite you to visit www.labanswer.com to review our Employee Value Proposition and Philosophy, and welcome you to apply, or refer a candidate to apply, through our careers page for employment consideration.