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Flex Biotech Data Science Jobs in California (NOW HIRING)

Sia Partners'

Data Science

San Francisco, CA · On-site

$90 - $120/hr

Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our ... Opportunities to flex your intellectual and creative muscles. * Welcoming, friendly and ...

Lam Research

Process Engineer - AI/Data Science

Fremont, CA · Hybrid

$125K - $150K/yr

The impact you'll make Join Lam as a process engineer - AI/Data Science embedded in an experimental ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

RXinsider LTD.

Manager Data Science

San Diego, CA · On-site

$142 - $236/hr

As part of the Data Science and Engineering team, this role combines strategic leadership ... Ask about our Flex workplace option. Please note: The information contained herein is not intended ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology ... We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120 - $140/hr

Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology ... We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing ...

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All JobsBiotech Data Science JobsFlex Biotech Data Science JobsFlex Biotech Data Science Jobs in California

Flex Biotech Data Science information

What is a Flex Biotech data scientist?

A Flex Biotech Data Scientist is a professional who applies data science and analytical techniques within the biotechnology sector, often in flexible or cross-functional roles. They analyze large sets of biological and clinical data to support research, development, and innovation in biotech companies. Flex roles may involve working on various projects, collaborating with interdisciplinary teams, and utilizing skills in programming, statistics, and biology. Their work helps drive discoveries, optimize experiments, and improve decision-making processes in the biotech industry.

How do Flex Biotech data science professionals typically collaborate with laboratory and research teams?

Flex Biotech Data Science professionals often work closely with laboratory scientists and research teams to interpret experimental data, refine data collection methods, and translate complex results into actionable insights. This collaboration involves regular meetings to discuss ongoing projects, sharing data findings, and providing statistical expertise to optimize research outcomes. Effective communication and a solid understanding of both computational and biological concepts are essential for bridging the gap between data science and laboratory work.

What are the key skills and qualifications needed to thrive as a Flex Biotech data scientist, and why are they important?

To thrive as a Flex Biotech Data Scientist, you need a strong background in biology, statistics, and data analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in programming languages (such as Python or R), experience with bioinformatics tools, and familiarity with platforms like SQL databases and machine learning frameworks are essential. Strong problem-solving skills, collaboration, and the ability to communicate complex findings to non-technical stakeholders make candidates stand out. These skills are crucial for extracting actionable insights from complex biological data, driving innovation, and supporting research and development in biotech environments.

What is the difference between Flex Biotech Data Science vs Flex Biotech Data Analysis?

AspectFlex Biotech Data ScienceFlex Biotech Data Analysis
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in biotech or healthcare companies, often involving complex data modelingOperational settings focusing on data reporting, visualization, and supporting decision-making
Employer & Industry UsageUsed in biotech firms, pharmaceutical companies, and research institutionsCommon in biotech companies, healthcare providers, and research organizations

Flex Biotech Data Science roles focus on developing predictive models and advanced analytics, requiring programming skills and a strong statistical background. Flex Biotech Data Analysis positions emphasize interpreting data, creating reports, and supporting business decisions with less emphasis on coding. Both roles are vital in biotech but differ in technical complexity and responsibilities.

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

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

What cities in California are hiring for Flex Biotech Data Science jobs?

Cities in California with the most Flex Biotech Data Science job openings:

Flex Biotech Data Science jobs near you

Process Engineer - AI/Data Science

Lam Research Corporation

Fremont, CA • On-site

Full-time

Posted 21 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

131st of 495 rated machine equipment manufacturers

Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
Join Lam as a process engineer - AI/Data Science embedded in an experimental-focused process team, where you'll design, develop, and program methods to analyze unstructured and data into actionable insights. You'll engage in lab experimentation on Lam's products and develop advanced test vehicles to generate data input for analysis. You'll develop algorithms and automated processes to evaluate complex data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.
What you'll do
This position is for a process engineer with AI/Data Science specialization within the Selective Etch Product Group based on Fremont, CA.
  • Responsible for performing professional process engineering research, development, and evaluation in support of the company's complex semiconductor capital equipment and systems.
  • Primary focus from concept and feasibility through onsite equipment evaluation with a balanced approach between advanced data science and 'hands-on' experimentation.
  • Develop predictive models derived from early experimentation to infer physical mechanisms within a collaborative multi-disciplinary team.
  • Develops advanced test vehicles and applies systematic root cause analysis.
  • Compiles and evaluates test data to determine appropriate limits and variables for process specifications.
  • Strong communication skills, with the ability to explain technical results clearly to audiences with varied levels of technical expertise.

Who we're looking for
  • Ph.D. or Master's degree in chemical engineering, materials science, chemistry or engineering physics with a strong background in advanced data science and machine learning with a minimum of 0-2 years work experience.
  • Demonstrated expertise and experience in data science, machine learning, artificial intelligence or advanced analytics.
  • Experimental laboratory experience to refine data collection and analysis.
  • Candidates with advanced degrees in Data Science, Statistics, Computer Science, Engineering, or Applied Mathematics will be considered if they have demonstrated experience applying data science techniques to experimental, engineering or semiconductor problems.

Preferred qualifications
  • Expertise applying AI and machine learning methodologies to physical systems.
  • Experience unifying experimental results into predictive models for actionable insights.
  • Experimental laboratory experience in semiconductors.
  • Chemistry laboratory experience.
  • Knowledgeable with statistical analysis and modeling including Statistical Process Control (SPC), Design of Experiments (DOE) and other data science methodologies.
  • Surface science knowledge a plus.
  • Strong organizational skills and demonstrated ability to manage multiple tasks simultaneously and ability to react to shifting priorities to meet business needs and deadlines.
  • Excellent people skills with demonstrated ability to work effectively and efficiently with diverse teams, customers, internal and external partners.
  • Collaboration/ Matrix environment mindset.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
#LI-JK1
Salary
CA San Francisco Bay Area Salary Range for this position: $86,000.00 - $183,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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