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Remote Data Science R Jobs in La Porte, TX (NOW HIRING)

... data · Attend and report on assigned medical conferences · Collaborate with KOLs on medical ... This position is primarily remote. Alumis Inc. is an equal opportunity employer. Alumis ...

Apply Early

Bachelors degree in Computer Science, Engineering, Mathematics, or related field. * At least 2 ... Flexible, remote work environment. * Placement with international clients upon certification.

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

Strong Understanding of machine learning concepts and data science tools. * Strong communication ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

Strong Understanding of machine learning concepts and data science tools. * Strong communication ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Air Modeler

Houston, TX · Remote

$80K - $119K/yr

... data processing. Programming and scripting experience in Python, R, BASH, or similar to automate ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

Strong Understanding of machine learning concepts and data science tools. * Strong communication ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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Showing results 1-20

Remote Data Science R information

See La Porte, TX salary details

$35.3K

$115.5K

$184.9K

How much do remote data science r jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote data science r in La Porte, TX is $115,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $127,900.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What cities near La Porte, TX are hiring for Remote Data Science R jobs? Cities near La Porte, TX with the most Remote Data Science R job openings:
Medical Science Liaison

Medical Science Liaison

Alumis

Houston, TX • On-site, Remote

$19K/yr

Full-time

Medical, PTO

Posted 8 days ago

Be an early applicant


Job description

Alumis Inc. is a precision medicines company with the mission to transform the lives of patients with autoimmune diseases. Even with treatment innovations of the last two decades, many patients with immunologic conditions continue to suffer - our goal is to fundamentally change the outcomes for these patients.

The MSL is a strategic, field-based, scientific expert focused on developing and maintaining collaborative relationships with Dermatology key opinion leaders (KOLs) and other healthcare professionals (HCPs). The MSL will engage with HCPs to support trial enrollment, educate on disease states and clinical trial outcomes, and inform internal strategy by gathering insights and representing the voice of KOLs and HCPs. MSLs strive to optimize patient care through KOL engagement and collaboration.

Current geographical areas of need:

· Northern California

· Southern California

· Great Plains

· Northern Texas

· Southern Texas

· Chicagoland

· Michigan

· Midwest

· Gulf South

· Florida

· S Manhattan

· New England

· Mid Atlantic

Key Responsibilities Include:

· Develop and maintain collaborative relationships with KOLs in the Dermatology community.

· Utilize systems to strategically map, identify, profile and prioritize thought leaders in line with the medical strategy

· Effectively develop and manage your assigned geography with an entrepreneurial approach

· Support clinical development initiatives including site identification, trial recruitment, timely completion of study milestones, and presentation of data

· Attend and report on assigned medical conferences

· Collaborate with KOLs on medical affairs initiatives including publications, advisory boards, medical education opportunities, training, and speaker development

· Serve as scientific resource to external disease experts and internal stakeholders

· Support the medical community with up-to-date medical information, robust disease expertise, and product information

· Gather and communicate insights from HCPs to inform medical strategy

· Train internal stakeholders on key scientific and medical topics

· Maintain effective and appropriate communication among internal stakeholders while maintaining full compliance with relevant requirements

· Lead and/or contribute to Medical Affair workstreams, projects, or resource development

· Maintain accurate documentation of MSL activities

· Support commercial activities where appropriate

Requirements:

· Advanced degree in scientific, clinical, or medical-related discipline (PharmD, PhD, MSN, DNP, PA-C, MPH, etc).

· At least 3 years of experience in MSL role, and must include experience as a Dermatology MSL. Launch, pre-launch, psoriasis, and/or Rheumatology experience is a plus

· Must have well-established networks and active relationships with KOLs in Dermatology and in the territory.

· Candidate must understand compliance considerations and demonstrate ability to work compliantly

· Ability and willingness to travel ~50%. Required travel to medical meetings, team meetings, and other group meetings (will require some weekends). This may vary depending on business needs

Skills, Knowledge & Abilities:

· Excellent oral and written communication skills

· Excellent interpersonal and engagement skills

· Energetically embraces responsibilities, demonstrates ability to achieve goals

· Demonstrates strong initiative as a flexible and proactive

· Ability to thrive in ambiguous situations

· Solution-oriented approach

· Exhibits excellent time management and ability to prioritize

· Demonstrated ability to work independently

· Experience in a start-up environment is a plus

The salary range for this position is $195,00 to 235,000 USD annually. This salary range is an estimate, and the actual salary may very based on the Company's compensation practices degree and background. Level depends on experience.

This position is primarily remote.

Alumis Inc. is an equal opportunity employer.

Alumis compensation packages include generous stock option grants for all employees as well as an annual bonus program.

Other benefits include:

  • Health insurance premiums paid at 90% for employee, 80% for dependents
  • Free access to Genentech Bus & Ferry Share program
  • $100 monthly cell phone stipend
  • Unlimited PTO for Exempt employees
  • Free onsite gym and a kitchen stocked with yummy snacks and drinks!

We are a hard-working, collaborative team on a mission to transform patient's lives-- and we aspire to elevate, challenge and nurture one another along the way.