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Biotech Data Science Remote Jobs in Tennessee (NOW HIRING)

... in the Biotech/Pharmaceutical industry. * Experience understanding and interpreting data ... Advanced knowledge of scientific/technical writing and editing. * Strong time and project ...

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Biotech Data Science Remote information

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 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 are the most commonly searched types of Biotech Data Science jobs in Tennessee?

The most popular types of Biotech Data Science jobs in Tennessee are:

What are popular job titles related to Biotech Data Science Remote jobs in Tennessee?

For Biotech Data Science Remote jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science Remote jobs in Tennessee look for?

The top searched job categories for Biotech Data Science Remote jobs in Tennessee are:

What cities in Tennessee are hiring for Biotech Data Science Remote jobs?

Cities in Tennessee with the most Biotech Data Science Remote job openings:

Site Reliability Engineer- REMOTE - Onsite Training

NTT DATA Services

Memphis, TN • On-site, Remote

$87K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


NTT Data rating

7.5

Company rating: 7.5 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

110th of 226 rated it services


Job description

Req ID: 375782 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Site Reliability Engineer- REMOTE - Onsite Training to join our team in Memphis, Tennessee (US-TN), United States (US).

Day-to Day Responsibilities:

  • Implement and support CI/CD tools and pipelines across the organization (GitLab preferred).
  • Experience with software and platform design, implementation, CI/CD pipelines, EKS, Bamboo, Jenkins, Docker, Splunk, and Datadog or similar monitoring tools.
  • Monitor production/non-production systems and help solve problems, using tools including Datadog.
  • Maintain containerized applications with Docker or similar technologies.
  • Work with the product and development teams to continue to scale our application and infrastructure while ensuring performance and high availability.
  • Collaborate with the development team on defining Service Level Indicators (SLIs) that represent the health of their service.
  • Develop systems and software that increase site reliability and performance and be part of building SRE competency within the Digital organization.
  • Help evolve the CI/CD pipeline leveraging SLIs and other monitorability works. Help with automating testing strategies to determine quality gates for production deployment.
  • Build long term automation solutions using scripting and programming (Groovy, Shell, Python, Terraform, or Java/JavaScript).
  • Provide technical leadership and implementation guidance for UI, APIs, and microservices.
  • Participate in a scheduled on-call rotation supporting production systems.

 

Basic Qualifications:

  • 8+ years of experience in DevOps/SRE environments, including substantial experience with CI/CD platforms, containerization technologies, and Kubernetes-based deployments.
  • 5+ years' experience in troubleshooting using APM (Application Performance Management) tools like Datadog and Dynatrace.
  • 4+ years' experience with Unix/Linux shell scripting and supporting NoSQL databases such as Couchbase.
  • 3+ years' experience with static code analysis tools such as Checkmarx and SonarQube.

 

Preferred Skills:

  • Strong log analysis using tools like Splunk.
  • Experience in working with Nexus Repository.
  • Ability to diagnose, troubleshoot complex issues.
  • Demonstrated advanced ability in one or more of the required technical areas.
  • Demonstrated commitment to continuous improvement and operational excellence.
  • Experience with ServiceNow and Jira for change management.
  • OWASP knowledge

Degree: Bachelor's degree in Computer Science or equivalent work experience.

Nice to Have; (But not a must)

  • Project lead experience

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $87,120 - 151,250. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance. 

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

#LI-NorthAmerica

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967