2

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

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Lead Data Scientist

New York, NY ยท 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 ...

Sr. Data Analyst - Remote

Manhattan, NY ยท On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate ... This role is part of a small team of Data Scientists/Analysts building up the Data platform to ...

Senior Data Scientist

Brooklyn, NY ยท 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.

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role The Data Science team at Block turns unique customer and product data into decisions that ...

Data Scientist

New York, NY ยท On-site +1

BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or ... A hybrid in-office approach, enabling remote work a portion of each week * Health Care Plan ...

next page

Showing results 1-20

Biotech Data Science Remote information

See Passaic, NJ salary details

$43K

$147.5K

$208.1K

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

As of Aug 6, 2026, the average yearly pay for biotech data science remote in Passaic, NJ is $147,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $172,400.00 per year, depending on experience, location, and employer.

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.

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 job categories do people searching Biotech Data Science Remote jobs in Passaic, NJ look for? The top searched job categories for Biotech Data Science Remote jobs in Passaic, NJ are:
What cities near Passaic, NJ are hiring for Biotech Data Science Remote jobs? Cities near Passaic, NJ with the most Biotech Data Science Remote job openings:
Infographic showing various Biotech Data Science Remote job openings in Passaic, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $147,505 per year, or $70.9 per hour.

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY โ€ข Remote

Full-time

Re-posted 16 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME