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Remote Data Science Jobs in Riverside, CA (NOW HIRING)

Stryker

Sr. Clinical Safety Specialist (Remote)

Irvine, CA · On-site +1

$108K - $180K/yr

Monitor safety data quality by identifying discrepancies and implementing corrective actions to ... Bachelor's degree in life science or related field * 2-4 years of experience in medical device ...

Stryker

Sr. Clinical Safety Specialist (Remote)

Irvine, CA · Remote

$108K - $180K/yr

Monitor safety data quality by identifying discrepancies and implementing corrective actions to ... Bachelor's degree in life science or related field * 2-4 years of experience in medical device ...

Invoca

Senior ML Engineer

Anaheim, CA · On-site +1

$109K - $150K/yr

Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

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All JobsRemote Data Science JobsRemote Data Science Jobs in Riverside, CA

Remote Data Science information

See Riverside, CA salary details

$23.7K

$105.5K

$201.3K

How much do remote data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote data science in Riverside, CA is $105,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,493.00 and $146,323.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Riverside, CA? The most popular types of Data Science jobs in Riverside, CA are:
What are popular job titles related to Remote Data Science jobs in Riverside, CA? For Remote Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Riverside, CA look for? The top searched job categories for Remote Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Science jobs? Cities near Riverside, CA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Riverside, CA as of June 2026, with employment types broken down into 2% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $105,494 per year, or $50.7 per hour.

Director, Early Development - Clinical Science

Welcome to the Tarsanet Internal Career Center!

Irvine, CA • On-site, Remote

$85K - $117K/yr

Other

Medical, Dental, Vision, PTO

Posted 19 days ago

Job description

About the Role

The Director, Early Development - Clinical Sciences will create early development clinical plans, program outlines, study designs and clinical study essential documents. This individual will be accountable for leading the cross-functional Study Teams to meet study deliverables and represent clinical development in core team and investigator meetings as needed.

This role will collaborate closely with cross-functional teams such as Clinical Operations, Regulatory Affairs, Medical Affairs, CMC, Finance and Legal to drive efficient and scientifically rigorous early development clinical work.

Let's talk about some of the key responsibilities of the role:

  • Maintains direct ownership of early development clinical deliverables, actively contributing to protocol development, document authoring, data review, study-level problem solving and execution decisions to ensure scientific rigor and operational excellence.
  • Shape clinical plans including timelines, budgets and oversight of clinical teams.
  • Author and critically review key clinical and regulatory documents, including protocols, SAPs, CSRs, IBs and clinical value dossiers, ensuring scientific rigor, regulatory alignment and quality execution.
  • Lead and oversees the training of study investigators on protocol and on clinical trial procedures.
  • Conduct research to develop foundational education material to inform the early development program strategies.
  • Interpret clinical data and support data-driven decisions.
  • Serve as program lead on early development Core teams, investigator meetings and scientific advisory boards.
  • Engage with internal and external stakeholders, including KOLs and regulators.
  • Exhibits and fosters key leadership competencies, including an innovative mindset, strong business acumen, an outcome-driven orientation, and a commitment to growing and expanding the capabilities and capacity of the team.
  • Collaborate with Clinical Operations, Regulatory Affairs, Translational Sciences, Biostatistics, Medical Affairs and others to ensure robust trial design, scientific and operational alignment and execution .

Factors for Success:

  • Advanced degree in sciences (e.g. PharmD, MD, PhD) with deep experience in early clinical development
  • Experience in ophthalmology is preferred; dermatology or infectious diseases a plus.
  • Minimum of 10 years of biotech/pharmaceutical clinical development experience, with a minimum of 8 years leadership in clinical trial management experience required
  • Established leadership track record with evidence of excellent performance-based people management experience, problem solving, collaboration, cross functional leadership and effective communication skills.
  • Expertise with SOPs, GCPs and regulatory and compliance guidelines for clinical trials.
  • Must be willing to be "hands on" and delve into details

Leadership Competencies - This role requires mastery of the Tarsus Leadership Competencies for Leading People, including:

  • Decision Making - Demonstrates strong decision-making by applying structured analysis to complex challenges, balancing competing priorities and long-term impacts while engaging stakeholders and driving solutions aligned with organizational goals.
  • Collaboration and Team Building - Promotes collaboration by aligning diverse teams around shared goals, fostering healthy debate to advance outcomes, and building strong networks that strengthen organizational effectiveness and cross-team learning.
  • Outcome Driven - Demonstrates strong outcomes focus by aligning teams around shared priorities, proactively addressing risks and dependencies, and driving cross-functional accountability to sustain progress and deliver results.
  • Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders' decision-making capability, and creating systems that support performance and growth.
  • Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure.

 Few Other Details Worth Mentioning:

  • The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote work is an option.
  • We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact!
  • This position reports directly to our SVP, Development
  • Some travel may be required - up to 30%

At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $203,200 - $284,600 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot.

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