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Data Science Manager Jobs in Modesto, CA (NOW HIRING)

Medical Writing Manager

Tracy, CA · Remote

$50 - $80/hr

Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion ... source data. * Exceptional written and verbal communication skills, especially in providing ...

Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion ... source data. * Exceptional written and verbal communication skills, especially in providing ...

Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion ... source data. * Exceptional written and verbal communication skills, especially in providing ...

HR Manager

Manteca, CA · On-site

$90K - $125K/yr

Analyzes wage and salary reports and data to determine competitive compensation plan. * Writes ... Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, etc.,) in its ...

Partner with customers to deliver innovative scientific solutions and expertise. Values: * Put the ... Manage sample tracking, data entry, and reporting through LIMS * Allocate staffing based on testing ...

Reporting directly to the Manager of Technical Services, the Technical Services Engineer will be ... Statistical analysis of manufacturing data * Clear and concise communication of technical details ...

Analyst ll

Turlock, CA · On-site

$23 - $32/hr

... life science, food and nutrition, and environmental industries and serves our clients with the ... The position may also review processes and perform data review to ensure alignment with established ...

Showing results 41-60

Data Science Manager information

See Modesto, CA salary details

$32.7K

$102.5K

$181.5K

How much do data science manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science manager in Modesto, CA is $102,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $132,400.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Modesto, CA?

The most popular types of Data Science jobs in Modesto, CA are:

What job categories do people searching Data Science Manager jobs in Modesto, CA look for?

The top searched job categories for Data Science Manager jobs in Modesto, CA are:

What cities near Modesto, CA are hiring for Data Science Manager jobs?

Cities near Modesto, CA with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Modesto, CA as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $102,488 per year, or $49.3 per hour.

Medical Writing Manager

micro1 AI

Tracy, CA • Remote

$50 - $80/hr

Part-time

Re-posted 3 days ago


Job description

Role Title: Medical Writer / Clinical Document Author


Role Type: Contractor


Location: Remote


micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer’s project focused on developing advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review realistic evaluation tasks based on Clinical Study Reports, DSURs, PSURs/PBRERs, and related clinical documents to inform AI tool development.
  2. Apply expert judgment to assess whether AI-generated content fulfills clinical template and structural requirements, including ICH E3 organization, section sequencing, cross-referencing, and appendix management.
  3. Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion, and conclusions, distinguishing true scientific or interpretive errors from stylistic differences.
  4. Trace narrative claims to source records—tables, figures, listings, and protocols—to verify that all assertions are appropriately supported.
  5. Provide clear and structured written rationales for each assessment, enabling precise diagnosis and improvement of AI model behavior.
  6. Collaborate with project leads to refine evaluation frameworks and document best practices for clinical regulatory writing in the context of AI.


Preferred Qualifications

  1. Minimum 5 years of regulatory medical writing experience at a sponsor, CRO, or as an independent consultant.
  2. Direct experience independently authoring or leading the authoring of full Clinical Study Reports, beyond summaries or partial contributions.
  3. Fluency with ICH E3 and conventions for periodic safety documentation (ICH E2F, ICH E2C) and eCTD placement.
  4. Demonstrated ability to read and interpret TFLs and protocol documents, identifying where narrative diverges from source data.
  5. Exceptional written and verbal communication skills, especially in providing structured, actionable feedback on clinical content.
  6. Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc), or equivalent depth of authoring experience.
  7. Experience across multiple clinical phases and therapeutic areas; oncology and haematology expertise is especially valued.


Join our customer's team and leverage your authoring expertise to help design the next generation of AI-assisted clinical documentation solutions. This high-bar role offers you the chance to shape how tomorrow's writing teams draft and review regulatory documents — through your expert input, judgment, and real-world experience.