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Python Biology Jobs in New Jersey (NOW HIRING)

Legend Biotech USA, Inc.

Ability to turn raw biological data into structured insights. Strong experience with AI application in data science.Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g ...

Princeton University

Research Specialist

Princeton, NJ

$41K - $60K/yr

... biology, engineering or a related field is required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis.- Research ...

Princeton University

Research Specialist

Princeton, NJ

$41K - $60K/yr

... biology, engineering or a related field is required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis.- Research ...

Princeton University

Research Specialist

Princeton, NJ · On-site

$41K - $60K/yr

... biology, engineering or a related field is required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis ...

Siemens

Research Scientist, Physics x AI

Princeton, NJ · On-site

Any other discipline where physical or biological priors in AI can bring breakthrough scale and ... Python, C++ * Experience with one or more of the following AI programming libraries: PyTorch, JAX ...

Legend Biotech USA, Inc.

Strong expertise in bioinformatics, statistics with some biological training background, with ... R and/or Python programming, Linux/Unix computing environments, Workflow management systems (e.g ...

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All JobsPython Biology JobsPython Biology Jobs in New Jersey

Python Biology information

What is the difference between Python Biology vs Bioinformatics Analyst?

AspectPython BiologyBioinformatics Analyst
Required CredentialsBiology degree, Python programming skillsBiology or related degree, Python and data analysis skills
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, biotech firms, healthcare organizations
Industry UsageData analysis, modeling biological systems using PythonAnalyzing biological data, developing pipelines, interpreting results

Python Biology focuses on applying Python programming to biological research, often emphasizing coding and data modeling. Bioinformatics Analysts combine biological knowledge with data analysis skills, including Python, to interpret complex biological datasets. Both roles require programming skills and work in similar environments, but Python Biology is more research and development-oriented, while Bioinformatics Analysts focus on data interpretation and analysis.

What careers can I do with Python?

Python is widely used in careers such as bioinformatics, computational biology, data analysis, and scientific research. Roles often involve developing algorithms, analyzing biological data, and automating workflows, with skills in programming, statistics, and biology. Knowledge of tools like Jupyter notebooks and libraries such as Biopython can enhance job prospects.

What biology jobs pay over $100k?

In biology-related fields, roles such as bioinformatics director, pharmaceutical research scientist, and senior clinical research manager often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, strong analytical skills, and experience with specialized tools like R or Python for data analysis.

Is Python useful for biology?

Python is widely used in biology-related jobs for data analysis, modeling, and automation of research workflows. Skills in Python, along with knowledge of biological data formats and libraries like Biopython, are valuable for bioinformatics, computational biology, and genomics roles.

How do Python Biology professionals typically collaborate with interdisciplinary teams in research settings?

Python Biology professionals often work closely with biologists, data scientists, and software engineers to analyze complex biological data. Collaboration usually involves translating biological questions into computational tasks, developing data pipelines, and presenting findings in a way that is accessible to both technical and non-technical stakeholders. Regular meetings and code reviews are common practices, ensuring that the software developed aligns with the scientific goals of the project. This interdisciplinary approach not only enhances research outcomes but also provides valuable learning and growth opportunities for team members.

What are the key skills and qualifications needed to thrive as a Computational Biologist specializing in Python, and why are they important?

To thrive as a Computational Biologist with a focus on Python, you need a strong background in biology, bioinformatics, and programming, typically supported by a degree in biological sciences, computer science, or a related field. Familiarity with Python libraries like Biopython, NumPy, and pandas, as well as experience with data analysis tools and version control systems such as Git, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting biological data and collaborating with interdisciplinary teams. These competencies enable accurate data analysis, innovative research, and effective teamwork in advancing biological discoveries.

What is a Python biologist?

A Python biologist is a professional who uses the Python programming language to analyze and interpret biological data. They often work in fields like bioinformatics, genomics, and computational biology, developing software tools to process large datasets such as DNA sequences or protein structures. Python biologists help translate complex biological problems into computational solutions, enabling researchers to gain insights that would be difficult to achieve manually.

What is the highest paying job in bioinformatics?

The highest paying jobs in bioinformatics are often senior roles such as Bioinformatics Directors, Computational Biology Managers, or Lead Data Scientists, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and expertise in programming, data analysis, and biological sciences.
What are popular job titles related to Python Biology jobs in New Jersey? For Python Biology jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Python Biology jobs in New Jersey look for? The top searched job categories for Python Biology jobs in New Jersey are:
What cities in New Jersey are hiring for Python Biology jobs? Cities in New Jersey with the most Python Biology job openings:
Python Biology jobs near you

Scientist/Sr. Scientist, Bioinformatics Data

Legend Biotech US

Somerset, NJ • Hybrid

Other

Re-posted 4 days ago

Job description

Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.

Role Overview

We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights. You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data.The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.

Key Responsibilities

  • Data Analysis:
    • Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
    • Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
    • Perform quality control, normalization, and batch-correction across heterogeneous datasets.
  • Pipeline Development & Automation: 
    • Design, optimize, and maintain robust, scalable bioinformatics pipelines.
    • Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses.
    • Procure and integrate existing biological databases with internal datasets.
  • Cross-Functional Collaboration:
    • Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders.
    • Collaborate with IT and other functional groups.

Requirements

  •  Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
  • Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).
  • Ability to turn raw biological data into structured insights.
  •  Strong experience with AI application in data science.
  • Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
  • Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.
  • A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies.
  • Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback.
  • Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats.
  • Creative, innovative and excellent communication and presentation skills.
  • This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.

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