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Senior Computer Science Bioinformatics Jobs in Nevada

Fusion HCR

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

Thermo Systems LLC

Senior Engineering Team Lead

Henderson, NV · On-site

$140K - $150K/yr

  • Medical

  • Retirement

  • PTO

The Sr.ETL serves primarily as a professional supervisor focusing on organizational development ... Bachelor of Science; Electrical Engineering, Mechanical Engineering, Computer Science, or other ...

Thermo Systems LLC.

Senior Engineering Team Lead

Henderson, NV · On-site

$140 - $150/hr

  • Medical

  • Retirement

  • PTO

The Sr.ETL serves primarily as a professional supervisor focusing on organizational development ... Bachelor of Science; Electrical Engineering, Mechanical Engineering, Computer Science, or other ...

Rimini Street

Sr. Associate Engineer, Security

Las Vegas, NV · On-site

$109K - $149K/yr

Required : • Bachelor's degree in computer science or cyber security • Linux/Windows knowledge ... senior management on potential threats, proposed improvements, and ongoing security issues • ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site

$117K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We're looking for a Senior Machine Learning Engineer to join our team during an ... Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We're looking for a Senior Machine Learning Engineer to join our team during an ... Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or ...

Deloitte

Senior Forward Deployed Engineer- AWS

Las Vegas, NV · On-site

$99K - $137K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

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Senior Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as a senior computer science bioinformatics professional?

To thrive as a Senior Computer Science Bioinformatics professional, you need advanced knowledge in computational biology, programming (such as Python, R, or Java), and a strong background in molecular biology or genomics, often supported by a graduate degree (MSc or PhD). Proficiency with bioinformatics tools (like BLAST, GATK, or Bioconductor), high-performance computing environments, and version control systems (e.g., Git) is essential. Strong problem-solving abilities, analytical thinking, and effective collaboration skills set top performers apart in this field. These competencies are crucial for managing complex biological datasets, developing innovative algorithms, and driving impactful research in interdisciplinary teams.

How does a senior computer science bioinformatics professional typically collaborate with multidisciplinary teams?

Senior Computer Science Bioinformatics professionals often work closely with biologists, clinicians, statisticians, and software engineers to analyze complex biological datasets. They are responsible for translating biological questions into computational problems, developing algorithms or pipelines, and ensuring that results are accurate and actionable. Effective communication and collaboration are essential, as they must bridge the gap between technical and scientific teams, lead project discussions, and sometimes mentor junior team members. This collaborative environment fosters innovation and helps drive research projects or clinical applications forward.

What does a senior computer science bioinformatics professional do?

A Senior Computer Science Bioinformatics professional applies advanced computational methods and software development techniques to analyze biological data, such as DNA, RNA, and protein sequences. They design and implement algorithms, manage large datasets, and collaborate with biologists to interpret results for research or clinical purposes. Their work often supports discoveries in genomics, drug development, and personalized medicine. In addition to technical expertise, they may lead teams, mentor junior staff, and oversee complex projects.

What cities in Nevada are hiring for Senior Computer Science Bioinformatics jobs?

Cities in Nevada with the most Senior Computer Science Bioinformatics job openings:

Senior Computer Science Bioinformatics jobs near you

Sr Data Engineer

Fusion HCR

Las Vegas, NV

$97K - $131K/yr

Full-time

Re-posted 23 days ago

Job description

Senior Data Engineer
Location: Las Vegas, NV 
Work Arrangement: 100% Onsite – 5 days per week (Required)
Employment Type: Direct Hire
Industry: Property Management / Real Estate Technology
Client: Fusion client – large, national property management organization
Position Summary
A Fusion client in the property management space is seeking a Senior Data Engineer to play a key role in building, scaling, and optimizing a modern Databricks-first data platform. This role is heavily hands-on and focused on designing and improving Spark-based data pipelines using Databricks, Python, and SQL in a cloud environment.
The Senior Data Engineer will lead large-scale data initiatives, including onboarding new data sources into the data warehouse, building real-time and batch data pipelines, and significantly improving pipeline performance and reliability. This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases.
Critical Skill Priorities (In Order of Importance)
  • Hands-on Databricks experience (Required)
  • Strong Python scripting and SQL (daily, hands-on use)
  • Apache Spark for cloud data loading and transformation
  • Large-scale data initiatives (new source ingestion, platform expansion)
  • Real-time and streaming data pipelines
  • Pipeline performance tuning and optimization

Key Responsibilities
  • Design, build, and maintain real-time and batch data pipelines using Databricks and Spark
  • Develop Python- and Spark-based processes for cloud data ingestion, transformation, and loading
  • Lead large data initiatives such as:
  • Bringing new internal and external data sources into the data warehouse
  • Supporting streaming and near–real-time data use cases
  • Improving pipeline speed, scalability, and reliability
  • Design and evolve data architecture supporting analytics, BI, and future AI/ML initiatives
  • Collaborate with cross-functional teams to translate business requirements into scalable data solutions
  • Monitor pipeline health, troubleshoot data issues, and improve system performance
  • Participate in code reviews and promote best practices around testing, CI/CD, and maintainable data pipelines
  • Contribute to the design and development of data products and data services consumed across the organization

Required Qualifications
  • Bachelor’s degree required in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field
  • Candidates with fewer years of experience may be considered only if degree requirements are met
  • 5+ years of hands-on experience as a Data Engineer
  • Strong, hands-on experience with Databricks and Apache Spark
  • Strong proficiency in Python scripting for data processing and pipeline development
  • Advanced SQL skills for analytics, transformations, and troubleshooting
  • Experience building and supporting cloud-based data pipelines
  • Experience working with large-scale data platforms and warehouses
  • Strong troubleshooting and problem-solving skills

Preferred / Nice-to-Have Qualifications
  • Experience with Snowflake (may be considered in place of some Databricks experience)
  • Experience with streaming technologies (Spark Streaming, Kafka, Event Hub, etc.)
  • Experience optimizing and tuning data pipelines for performance and scalability
  • Experience with CI/CD practices in data engineering environments
  • Familiarity with BI tools such as Power BI or Tableau
  • Experience working in Agile development environments