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Biotech Data Science Remote Jobs in Clifton, NJ (NOW HIRING)

Arlyn AI

Senior Applied Scientist, Agentic AI

New York, NY · Remote

$175K - $255K/yr

You'll work at the intersection of AI, data science, and healthcare, helping biotech and pharma companies navigate patient access barriers and optimize commercial decisions. What You'll Do * Own the ...

3B Staffing LLC

Lead Data Scientist

Manhattan, NY · On-site +1

... Remote also will be considered for strong Contract US Citizens and Green card candidates only ... Partner with stakeholders to define data science opportunities, shape problem statements, and ...

3B Staffing LLC

Lead Data Scientist

Manhattan, NY · On-site +1

... Remote also will be considered for strong Contract US Citizens and Green card candidates only ... Partner with stakeholders to define data science opportunities, shape problem statements, and ...

Bread Financial

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help customers integrate and develop recommendation models using the Shaped Platform.

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Biotech Data Science Remote information

See Clifton, NJ salary details

$42.7K

$146.6K

$206.8K

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

As of Sep 5, 2026, the average yearly pay for biotech data science remote in Clifton, NJ is $146,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $171,300.00 per year, depending on experience, location, and employer.

What is a remote biotech data scientist?

A remote biotech data scientist is a professional who applies data analysis, machine learning, and statistical methods to biological and biomedical data while working from a location outside of a traditional office. They help interpret complex datasets from experiments, clinical trials, or genomics to aid in research, drug development, and healthcare innovation. Their work involves programming, data visualization, and collaborating with cross-functional teams, all done virtually. Remote biotech data scientists typically use tools like Python, R, and specialized bioinformatics software to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a biotech data scientist in a remote role?

To thrive as a Biotech Data Scientist in a remote role, you need a strong background in biology or biotechnology, advanced data analysis skills, and proficiency in programming languages like Python or R, often supported by a relevant degree. Familiarity with bioinformatics tools, machine learning frameworks, and cloud-based collaboration platforms is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote teamwork and project delivery. These competencies ensure accurate data-driven insights, seamless remote collaboration, and impactful contributions to biotech research and innovation.

What are some common challenges faced by remote biotech data scientists, and how can they be addressed?

Remote biotech data scientists often encounter challenges related to cross-disciplinary collaboration and data accessibility, as projects frequently require input from wet lab scientists, clinicians, and IT specialists. Effective communication tools, regular virtual meetings, and clear project management protocols can help bridge these gaps. Additionally, ensuring secure and reliable access to large and sensitive datasets is essential, so familiarity with cloud platforms and data governance best practices is beneficial for success in this role.

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Biotech Data Science Remote jobs near you

Data Scientist or Advanced Analytics

3B Staffing LLC

Jersey City, NJ • Remote

Full-time

Posted 4 days ago

Job description

Hi,

Greetings!!!!

Job Description: Data Scientist - Advanced Analytics (Pharma Patient-Level Analytics)

Title: Data Scientist - Advanced Analytics

Location: Remote (EST Hours)

About the Role

We are seeking a highly skilled Data Scientist with expertise in advanced analytics, machine learning, and statistical modeling to join our Pharma Analytics team. The ideal candidate will have strong hands-on experience with R, Python, and ML libraries and proven capabilities in patient-level and claims-level analytics. You will play a key role in analyzing pharma patient data to generate insights that inform market access, patient outcomes, and commercial decision-making.

Key Responsibilities

  • Design, develop, and implement statistical models, machine learning algorithms, and predictive analytics solutions using R/Python.
  • Conduct patient-level and claims-level analytics, including longitudinal analysis, patient journeys, adherence, persistence, and treatment pathways.
  • Work with pharma datasets (IQVIA, Symphony, APLD, LAAD, claims, EHR/EMR, specialty pharmacy data) to derive actionable insights.
  • Collaborate with cross-functional teams (HEOR, Market Access, Commercial, Medical Affairs) to address key business questions.
  • Apply survival analysis, regression, classification, clustering, and NLP to patient-level datasets.
  • Develop dashboards, visualizations, and reports for internal stakeholders and clients.
  • Ensure data quality, integrity, and compliance with HIPAA, GDPR, and industry regulations.
  • Stay current on pharma data science trends, advanced ML methods, and real-world evidence (RWE) analytics.

Required Skills & Qualifications

  • Master's or PhD in Statistics, Data Science, Computer Science, Biostatistics, Epidemiology, or related field.
  • 5-7 years of hands-on data science experience, preferably in pharma, life sciences, or healthcare analytics.
  • Strong programming skills in R or Python, including ML libraries (scikit-learn, TensorFlow, PyTorch, caret, randomForest, XGBoost, etc.).
  • Expertise in patient-level and claims-level analytics
  • Familiarity with pharma patient data sources (IQVIA LAAD, Symphony APLD, specialty pharmacy, claims, EMR/EHR).
  • Strong statistical knowledge (hypothesis testing, regression, Bayesian methods, etc.).
  • Experience working with large datasets, SQL databases, and cloud environments (AWS/Azure/GCP).
  • Excellent communication skills - ability to translate complex analyses into business insights.

Name:

Work Authorization:

Salary:

Email ID:

Phone Number:

Current Location:

Comm. Skills: Good

Availability to start:

Willing to Relocate (Y/N):

LinkedIn:

Kind Regards,

Prabhat Jaiswal

Recruitment Specialist

Cell: (856) 444-7215

Email : prabhat@jconnectinc.com

168 Barclay Center Ste. 347, Cherry Hill, NJ 08034

Jconnect Infotech Inc.

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