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Nextflow Bioinformatics Jobs in Indiana (NOW HIRING)

Nextflow Bioinformatics information

What is a Nextflow bioinformatician?

A Nextflow Bioinformatician is a specialist who uses the Nextflow workflow management system to design, implement, and maintain computational pipelines for analyzing biological data. They typically work with large-scale sequencing datasets, automating processes such as data preprocessing, alignment, variant calling, and more. Their expertise lies in combining programming skills with bioinformatics knowledge to streamline and reproduce complex analyses, often in high-performance or cloud computing environments. This role is critical for ensuring reliable, scalable, and reproducible results in genomics and other life science research.

What skills and qualifications are needed to thrive as a Nextflow bioinformatics specialist?

To thrive as a Nextflow Bioinformatics specialist, you need a strong background in bioinformatics, scripting languages (such as Python or Bash), and experience with workflow management systems, often supported by a relevant degree in bioinformatics, biology, or computer science. Proficiency with Nextflow, containerization platforms (like Docker or Singularity), and high-performance computing environments is typically required. Problem-solving ability, strong attention to detail, and effective collaboration are critical soft skills in this role. These competencies are essential for developing reproducible, scalable analysis pipelines that drive accurate biological insights in research or clinical settings.

What are common challenges when developing and maintaining Nextflow pipelines in a bioinformatics team?

One common challenge in developing and maintaining Nextflow pipelines is ensuring reproducibility and compatibility across different computing environments, such as local clusters and cloud platforms. Collaborating with team members often involves integrating diverse tools and datasets, which can introduce version conflicts or software dependency issues. Additionally, keeping pipelines up-to-date with rapidly evolving bioinformatics methods requires strong communication and regular code reviews within the team. Effective documentation and modular pipeline design can help address these challenges and streamline collaborative workflows.

What is the difference between Nextflow Bioinformatics vs Bioinformatics Analyst?

AspectNextflow BioinformaticsBioinformatics Analyst
CredentialsTypically requires a degree in bioinformatics, computer science, or related fields; familiarity with scripting and workflow management toolsUsually holds a degree in bioinformatics, biology, or related disciplines; strong analytical and programming skills
Work EnvironmentResearch labs, biotech companies, or academic institutions; focuses on developing and executing computational workflowsData analysis in research or clinical settings; interprets biological data and reports findings
Industry UsageUsed in genomics, transcriptomics, and large-scale data processing projectsApplied in research, healthcare, and diagnostics to analyze biological datasets

While both roles require bioinformatics knowledge, Nextflow Bioinformatics specializes in managing and automating computational workflows using tools like Nextflow, whereas Bioinformatics Analysts focus on analyzing biological data and interpreting results. The roles often overlap but differ in technical focus and responsibilities.

What cities in Indiana are hiring for Nextflow Bioinformatics jobs?

Cities in Indiana with the most Nextflow Bioinformatics job openings:

Advisor - Agent Research

Scorpion Therapeutics

Indianapolis, IN • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Responsibilities:

  • Partner with scientists to build autonomous agents for molecule discovery tasks.

  • Design and build reinforcement learning (RL) environments with appropriate state/action/termination semantics for discovery.

  • Curate and engineer reward functions from noisy scientific signal.

  • Post-train domain models (SFT, DPO/GRPO/PPO, reward modeling, distillation) on chemistry and biology tasks.

  • Integrate learned policies with domain tools (RDKit, molecular graph ML, ELN/LIMS APIs, instrument drivers) to execute real DMTA tasks.

  • Build evaluation infrastructure (task suites, scoring harnesses, regression/experiment tracking e.g., MLflow).


Basic Qualifications:

  • PhD (or MS + 3 yrs / BS + 5 yrs) in ML, Bioinformatics, Cheminformatics, Computer Science, or related field with demonstrated wet-lab collaboration/hands-on experience.

  • ~1–2 years applying AI/ML in scientific disciplines (biology, chemistry, neuroscience, etc.).

  • Hands-on experience training/post-training AI models.


Preferred Qualifications/Skills:

  • Python; deep learning frameworks (PyTorch, TensorFlow, JAX, HuggingFace).

  • RL and post-training methods (PPO, GRPO, DPO, reward modeling, RLHF/RLAIF) and libs (TRL, verl, or equivalents).

  • Molecular representation learning/generative chemistry/protein-nucleic acid models.

  • Agentic AI systems experience (OpenAI/Anthropic Agent SDK, LangChain, Smol agents).

  • Cloud end-to-end system experience (APIs/frontends/agent platforms); GitHub portfolio a plus.

  • Cloud-native pipeline knowledge (AWS/Azure), Nextflow/Argo on Kubernetes.

  • Research contributions/publications; mentoring experience.


Benefits:

  • Eligible for company bonus; 401(k), pension, vacation; medical/dental/vision/prescription; flexible benefits; life insurance; time off/leave; well-being benefits (EAP/fitness/clubs).

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