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Biotech Data Science Jobs in Austin, TX (NOW HIRING)

Trade Compliance Manager

Austin, TX · On-site +1

$145K - $170K/yr

... sciences, diagnostics and biotechnology? At Molecular Devices, one of Danaher's 15+ operating ... Experience with Oracle, EPR systems, and data analytics/visualization tools (e.g., Power BI)

... biotechnology? At SCIEX, one of Danaher's 15+ operating companies, our work saves lives-and we're ... You will be part of a winning team, enabled by DBS, that is passionate about helping life science ...

About MMS MMS is an innovative, data-focused CRO that supports the pharmaceutical, biotech, and medical device industries with a proven, scientific approach to complex trial data and regulatory ...

Quality Engineer II

Austin, TX · On-site

$71K - $92K/yr

Perform analysis of the external and internal product quality data * Collaborate with ... biotechnology * Preferred Fields of Study: Life Sciences, Engineering, Chemistry or related ...

Quality Engineer II

Austin, TX · On-site

$71K - $92K/yr

Perform analysis of the external and internal product quality data * Collaborate with ... biotechnology * Preferred Fields of Study: Life Sciences, Engineering, Chemistry or related ...

Showing results 41-60

Biotech Data Science information

See Austin, TX salary details

$37.2K

$121.6K

$194.7K

How much do biotech data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for biotech data science in Austin, TX is $121,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are popular job titles related to Biotech Data Science jobs in Austin, TX?

For Biotech Data Science jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science jobs in Austin, TX look for?

The top searched job categories for Biotech Data Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Biotech Data Science jobs?

Cities near Austin, TX with the most Biotech Data Science job openings:

Infographic showing various Biotech Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 56% Full Time, 13% Part Time, 10% Temporary, and 21% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.

Sr. Manager, Manufacturing Operations

Emerald Cloud Lab

Austin, TX • On-site

Full-time

Re-posted yesterday


Job description

Emerald Cloud Lab (ECL) is the world's leading remote life sciences laboratory, allowing scientists to run experiments 24/7/365, from anywhere in the world, revolutionizing the approach to lab work for research,product development and QC testing. The entire lab is driven through a single software interface, forming one continuous workflow from test design to execution in the lab and analysis of resulting data. Scientific methods are translated into code, then executed in our state-of-the art laboratory. With ECL handling the manual completion of experiments, scientists can spend more time on the science - designing experiments and interpreting results.

Role Overview

The Sr. Manager of Manufacturing Operations is responsible for owning and executing Emerald Cloud Lab's end-to-end operational strategy and performance. This role has accountability for laboratory operations and operational excellence, ensuring the company delivers reliable, scalable, and compliant services that support revenue growth and customer commitments.

As a member of the Lab Operations Leadership Team, the Sr. Manager of Manufacturing Operations partners closely with the Chief Operating Officer to translate growth objectives into operational capacity, capability, and execution.


Core Responsibilities

Laboratory Operations Execution

  • Manage 24/7, 365-day laboratory operations, ensuring consistent execution of automated and manual workflows.
  • Own staffing, shift scheduling, utilization, and day-to-day operational performance of the laboratory.
  • Ensure reliable service delivery, turnaround times, and adherence to operating standards.



Workforce Leadership & Development

  • Provide direct supervisory oversight for laboratory operations teams across all shifts.
  • Lead workforce planning, recruitment, onboarding, training, and ongoing development.
  • Establish clear expectations, accountability, and communication rhythms through 1:1s, team meetings
  • Foster a culture of engagement, ownership, and continuous improvement in a 24/7 environment.



Operational Performance & Continuous Improvement

  • Define, track, and enforce key performance indicators (KPIs) related to throughput, efficiency, turnaround time, and quality.
  • Identify performance gaps, bottlenecks, and improvement opportunities; lead continuous improvement initiatives to optimize operations.
  • Support implementation of scalable processes and best practices during periods of growth and change.



Safety, Compliance & Regulatory Oversight

  • Ensure adherence to cGMP, FDA, ICH, USP, EU, and other applicable regulatory standards.
  • Promote a strong safety culture and proactively address risks that could impact employees or operations.



Inventory, Logistics & Materials Management

  • Provide operational oversight of incoming and outgoing shipments of research supplies and client samples.
  • Ensure proper receiving, registration, storage, tracking, and inventory control of laboratory materials.
  • Maintain inventory levels and coordinate ordering of laboratory supplies to support uninterrupted operations.



Cross-Functional Collaboration

  • Partner with other department leaders to support root cause analysis and investigations
  • Support cross-functional initiatives related to growth, customer delivery, safety, and operational readiness.
  • Engage as needed in company-wide initiatives (e.g., internal task forces, special projects).



Required Qualifications

  • Bachelor's degree in Operations Management, Engineering or a related field
  • 5+ years of experience in Operations or Manufacturing Engineering roles in regulated industry
  • Experience in pharmaceutical, biotech, or similarly regulated laboratory or manufacturing environments.
  • Strong working knowledge of cGMP, FDA,and ISO regulatory requirements.
  • Proven ability to lead teams in fast-paced, high-growth, operationally complex environments.
  • Strong data orientation with experience using KPIs to drive operational performance.



Preferred Experience

  • Master's degree in Operations Management, Engineering or a related field
  • Experience leading operations teams in a startup environment
  • Exposure to common coding languages (Python, R, Mathematica,etc)
  • Experience managing both Exempt and Non Exempt employees
  • Lean Certification and/or Six Sigma Greenbelt or Black Belt



Success Measures

  • Consistent, reliable execution of 24/7 laboratory operations.
  • Achievement of safety, quality, and regulatory compliance objectives.
  • Laboratory throughput, turnaround time, and efficiency aligned with business needs.
  • Workforce readiness, engagement, and retention in a high-growth environment.
  • Clear, timely, and actionable operational reporting to executive leadership.