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Virtual Bioinformatics Data Scientist Jobs in Arizona

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Support end-to-end genomic data analysis, including quality control, alignment, variant calling ...

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Support end-to-end genomic data analysis, including quality control, alignment, variant calling ...

Caris MPI, Inc.

Manager - Bioinformatics

Phoenix, AZ · On-site

$150 - $210/hr

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Support end-to-end genomic data analysis, including quality control, alignment, variant calling ...

micro1 AI

AI Training Specialist - Life Sciences

Mesa, AZ · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

micro1 AI

AI Training Specialist - Life Sciences

Yuma, AZ · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

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Virtual Bioinformatics Data Scientist information

What are the key skills and qualifications needed to thrive as a virtual bioinformatics data scientist?

To thrive as a Virtual Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, often supported by an advanced degree in bioinformatics or a related field. Proficiency in programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with cloud computing platforms are typically required. Outstanding analytical thinking, collaboration, and effective communication skills set top performers apart in this field. These competencies are crucial for extracting meaningful insights from complex biological data and facilitating impactful research in a remote, interdisciplinary environment.

What is a virtual bioinformatics data scientist?

A Virtual Bioinformatics Data Scientist is a professional who analyzes and interprets complex biological data, such as genomic sequences, using computational tools and statistical techniques, often working remotely. They collaborate with researchers and healthcare professionals to process large datasets, develop algorithms, and extract meaningful insights that advance scientific or clinical research. The 'virtual' aspect means they perform their duties online, leveraging cloud platforms and remote collaboration tools. This role requires expertise in biology, computer science, and data analytics. Their work supports advancements in fields like personalized medicine, drug development, and genomics.

What is the difference between Virtual Bioinformatics Data Scientist vs Virtual Bioinformatics Analyst?

AspectVirtual Bioinformatics Data ScientistVirtual Bioinformatics Analyst
Required CredentialsTypically requires a master's or Ph.D. in bioinformatics, computational biology, or related fieldsUsually holds a bachelor's or master's degree in bioinformatics, biology, or related areas
Work EnvironmentConducts complex data modeling, algorithm development, and predictive analyticsFocuses on data interpretation, report generation, and supporting research teams
Employer & Industry UsageUsed in biotech, pharmaceutical, and research institutions for advanced data analysisCommon in research labs, healthcare, and biotech companies for data support roles

The Virtual Bioinformatics Data Scientist and Virtual Bioinformatics Analyst roles share overlapping skills but differ mainly in complexity and focus. Data scientists handle advanced modeling and algorithm development, often requiring higher credentials, while analysts focus on data interpretation and reporting. Both roles are vital in biotech and research industries, but their responsibilities and expertise levels vary.

How does a virtual bioinformatics data scientist typically collaborate with cross-functional teams in a remote setting?

As a Virtual Bioinformatics Data Scientist, you will regularly collaborate with biologists, clinicians, and software engineers via digital communication and project management platforms. Effective communication is crucial, as you’ll be expected to translate complex data findings into actionable insights for non-technical team members. Most virtual teams use tools like Slack, Zoom, and shared cloud-based repositories to facilitate real-time collaboration and feedback. Proactive participation in virtual meetings, clear documentation, and adaptability to asynchronous workflows are key to successful teamwork in this remote role.
What are the most commonly searched types of Bioinformatics Data Scientist jobs in Arizona? The most popular types of Bioinformatics Data Scientist jobs in Arizona are:
Virtual Bioinformatics Data Scientist jobs near you

Scientist - Bioinformatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 9 days ago

Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
The Scientist - Bioinformatics will be responsible for supporting and maintaining Caris' existing NGS pipelines, as well as developing, implementing, and validating new NGS pipelines and related bioinformatics tools. As a member of the Caris Bioinformatics team, this role will work closely with our R&D, Clinical Operations, IT, and executive management to design and manage the analytic workflows and pipelines to support our whole exome, transcriptome, and genome assays.
Job Responsibilities
  • Responsible for the implementation and maintenance of computational pipelines and workflows for the analysis, integration, and interpretation of diverse biologic data including genomic, transcriptomic, proteomic, and metabolomic data.
  • Implement bioinformatics strategies, ensuring alignment with organizational goals and scientific objectives.
  • Collaborate with research, clinical, and data scientists to identify computational needs, translate scientific and clinical questions into analytical workflows, and provide guidance for data processing, quality control, and statistical analysis.
  • Stay abreast of emerging bioinformatics tools, techniques, and best practices, and work to incorporate them into the bioinformatics framework.
  • Ensure the timely delivery of high-quality bioinformatics results by implementing rigorous quality control and validation procedures.
  • Establish and maintain databases, data repositories, and analytical platforms to facilitate data integration, sharing, and access for internal and external stakeholders.
  • Collaborate with IT and software development teams to optimize computational infrastructure, cloud computing, and database systems to support bioinformatics data storage, analysis, and visualization.
  • Ensure compliance with relevant data protection regulations and ethics guidelines, promoting best practices for data management, privacy, and security.
  • Collaborate with internal stakeholders, external partners, and customers to provide technical expertise, foster collaborations, and contribute to the development of joint research projects.

Required Qualifications
  • PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines.
  • Experience (2-5 years) with state-of-the-art bioinformatics tools, especially NGS pipelines.
  • Knowledge and analytic skills managing bioinformatics data including FASTQ, BAM, and VCF.
  • Programming experience with Python, bash, SQL, GIT.
  • Experience with AWS services (e.g., Lambda, Step Functions and OMICS) and workflow languages such as WDL or Nextflow is preferred.
  • Skills in statistical analysis and data visualization with statistical packages such as R, SAS, or SciPy
  • Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

Preferred Qualifications
  • Good verbal and written communication skills.
  • Willingness to share and receive information and ideas from all levels of the organization in order to achieve the desired results.
  • Strong foundation in principles and analytical methodologies in computational biology and bioinformatics to build and maintain large scale pipelines.

Physical Demands
  • Must possess ability to sit, stand, and/or work at a computer for long periods of time

Training
  • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

Other
  • This position requires periodic travel and some evenings, weekends and/or holidays.
  • Job may require after-hours response to emergency issues.
  • Periodically scheduled on-call may require after-hours response for technical emergencies not explicitly related to assigned job responsibilities.
  • At times may be required to work weekends/holidays.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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