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Data Science 500K Jobs Jobs (NOW HIRING)

Costs are extremely high--often $500K-$2M per patient--limiting access to only a small fraction of ... Our technology allows biopharma companies to scale production without redesigning their science ...

Develop conceptual project budgets for projects ranging from approximately $500K to $5M. * Support ... Strong analytical skills for evaluating costs, schedules, and risks and making data-informed ...

Develop conceptual project budgets for projects ranging from approximately $500K to $5M. * Support ... Strong analytical skills for evaluating costs, schedules, and risks and making data-informed ...

... our data, software platforms, and workflows. • Design and develop playbooks, demos, and other ... Science, Mathematics, or other Engineering fields. • 3+ years of experience developing with ...

... our data, software platforms, and workflows. • Design and develop playbooks, demos, and other ... Science, Mathematics, or other Engineering fields. • 3+ years of experience developing with ...

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... valued between $500K and $7M * Review architectural, structural, MEP, and civil drawings ... Maintain historical cost data, subcontractor pricing, and estimating templates for continuous ...

We're a team of engineers and scientists with deep backgrounds in ML infrastructure & research ... Develop data pipelines that process and filter trillions of tokens for pre-training * Research and ...

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Data Science 500K Jobs information

What profession makes $400,000 a year?

In the field of data science, senior roles such as Lead Data Scientist or Data Science Director can earn $400,000 or more annually, especially with extensive experience, advanced skills in machine learning, and leadership responsibilities. High compensation often involves working in large organizations, consulting, or specialized industries like finance or technology.

What are Data Science 500K Jobs?

Data Science 500K Jobs refer to the rapidly growing number of job opportunities in the field of data science, which are projected to reach or exceed 500,000 positions due to the increasing demand for data-driven decision making in various industries. These jobs include roles like data analysts, machine learning engineers, data engineers, and business intelligence specialists. Data science professionals use statistical analysis, programming, and domain expertise to extract insights from data and help organizations solve complex problems. The field offers competitive salaries, continuous learning, and diverse career paths. As technology and data continue to grow, so does the need for skilled data science professionals.

What is the difference between Data Science 500K Jobs vs Data Analyst?

AspectData Science 500K JobsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; often includes certifications in machine learning or data analysis toolsDegree in Statistics, Mathematics, or related fields; certifications in Excel, SQL, or data visualization tools common
Work EnvironmentTech companies, finance, healthcare, and large enterprises; focus on predictive modeling and advanced analyticsBusiness, marketing, finance sectors; focus on reporting, data visualization, and descriptive analytics
Employer & Industry UsageUsed across industries for developing models, algorithms, and predictive insightsUsed mainly for reporting, dashboards, and supporting decision-making processes

Data Science 500K Jobs and Data Analyst roles share some foundational skills but differ mainly in complexity and focus. Data scientists work on advanced modeling and machine learning, while data analysts focus on interpreting data and creating reports. Both roles are vital but serve different organizational needs.

What are some common challenges data scientists face when working on large-scale projects within organizations?

Data scientists working on large-scale projects often encounter challenges such as integrating data from multiple sources, ensuring data quality, and handling vast amounts of unstructured information. Collaboration with cross-functional teams, including engineers and business analysts, is crucial to align technical solutions with organizational goals. Additionally, communicating complex analytical findings to non-technical stakeholders and driving actionable insights can be demanding but is essential for project success.

What jobs in the US pay 300,000 a year?

In data science and related fields, senior roles such as Lead Data Scientist, Machine Learning Engineer, and Data Science Director can earn $300,000 or more annually, especially with extensive experience, advanced skills in programming and analytics, and leadership responsibilities. High-paying roles often require advanced degrees, specialized certifications, and a strong track record of impactful projects.

What jobs make $1,000,000 a year?

In the field of data science, very few roles reach a $1,000,000 annual salary, typically limited to highly experienced senior data scientists, chief data officers, or data science executives in large organizations. These positions often require advanced skills, extensive experience, leadership responsibilities, and sometimes equity or performance-based bonuses. Most data science roles offer salaries well below this threshold, but top executives and specialized consultants can achieve such earnings.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Machine Learning Director, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning, and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with machine learning frameworks (like TensorFlow or scikit-learn), data visualization tools, and experience with big data platforms (such as Hadoop or Spark) are typically required. Excellent problem-solving abilities, communication skills, and business acumen help data scientists translate complex data insights into actionable business strategies. These skills are crucial for extracting valuable insights from data, enabling organizations to make informed, data-driven decisions.
Infographic showing various Data Science 500K Jobs job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 3% As Needed, 3% Full Time, 43% Part Time, 45% Contract, and 3% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Scientist II

Scientist II

Multiply Labs

San Francisco, CA

Full-time

Posted 5 days ago


Job description

Note: This role is currently part of our general interest pool. We are not actively recruiting for it at this time, but we are reviewing submissions. If a strong fit emerges and the role is prioritized, a member of our team will reach out.

Thank you for your interest in Multiply Labs.

 
Join the Future of Robotic Biomanufacturing!
 
Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more.

Today, these therapies are produced through manual, labor-intensive processes. Costs are extremely high—often $500K–$2M per patient—limiting access to only a small fraction of those who need them.

As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable.
 
We believe the future of biomanufacturing is robotic—closed, automated, and scalable—ensuring critical therapeutics are accessible to every patient who needs them.
 
Why This Matters
 
We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients.
 
The Stack & The Scale
 
The Mission: Build the world’s best robots to make life-saving therapies accessible to all.
The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.
The Location: Headquartered in San Francisco, CA.
The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator.
 
To learn more and to view a video of our robots in action, visit us at www.multiplylabs.com and follow us on LinkedIn. 
 
About this Role
 
We are seeking a highly motivated scientist who will contribute significantly to the advancement and validation of our automated processes. This role primarily involves hands-on laboratory work, where you will directly contribute to improving the efficiency, accuracy, and reliability of our robotic systems. This will provide you with a deep, intimate understanding of the intricacies of our technology. Beyond the lab, you will also serve as a key Multiply Labs representative during system deployments at customer sites. This will involve working directly with clients to ensure seamless integration and optimal performance of our robotic solutions, offering an exciting opportunity to apply your expertise in real-world settings and to contribute directly to customer success.
Essential Duties & Responsibilities
  • Experiment Planning and Execution: Assist in experiment design and execution, perform statistical analysis, and present data.
  • Cluster Deployment Support: Act as the onsite biology team representative during the deployment of robotic systems at both domestic and international customer sites. This includes providing assistance and training to customer personnel on automated processes.
  • Cross-functional Collaboration: Work with other teams in improving and implementing automated processes.
  • Laboratory Maintenance: Assist with routine laboratory tasks, such as maintaining cell cultures, equipment, inventory, and documentation.
Minimum Qualifications
  • Degree in a relevant scientific discipline (e.g., cell and molecular biology, biochemistry, immunology, biomedical engineering):
  • Bachelor’s degree and 4+ years of relevant experience; OR
  • Masters’ degree and 2+  years of relevant experience
 
  • Proficiency in an experimental biology laboratory, including:
  • Hands-on experience performing experiments
  • Data analysis and interpretation of results
  • Ability to plan and execute experiments independently
  • Expertise in common laboratory techniques (e.g., cell culture, media preparation)
  • Familiarity with standard safety procedures and sterile techniques (e.g., proper PPE, aseptic handling)
  • Effective troubleshooting of experimental issues and technical failures
 
  • Proficiency in aseptic techniques: including working efficiently within a Biological Safety Cabinet (BSC), proper handling of sterile reagents and supplies, and routine visual and microscopic monitoring to prevent microbial and cross-contamination of cell lines.
 
  • Proficiency in human blood processing, including:
  • Experience in handling and manipulating whole blood or apheresis-collected components (e.g., PBMCs, stem cells)
  • Post-collection processing for downstream cell expansion protocols (e.g., isolating specific cell populations, immediate culture initiation, or cell cryopreservation)
 
  • Proficiency in T cell isolation from peripheral blood or apheresis products using both positive and negative selection methods, coupled with experience in T cell activation and expansion protocols 
 
  • Proficiency using Google Workspace for managing large collaborative data trackers (Sheets) and creating formal technical reports (Docs/Slides)
 
  • Proficiency using GraphPad Prism to independently perform advanced statistical tests (e.g., ANOVA) and generate publication-quality data figures
 
  • Possess excellent verbal and written communication skills with the ability to clearly convey complex scientific information (including customer processes and technical requirements) to both scientific audiences and non-scientific internal staff to ensure alignment and effective collaborationFlexibility and adaptability in the face of changing priorities and schedules
 
  • Organizational skills, time management, administrative, and data recording skills.
 
  • Ability to prioritize tasks, multi-task, and coordinate work tasks with others and meet multiple deadlines.
 
  • Ability to travel to international and domestic customer sites as needed.
 
  • Ability to stand for long periods of time and move comfortably in confined systems within our robotic systems (~2.5m x 1m, with further restrictions depending on robot location).
Preferred Qualifications
  • Hands-on experience working within a GxP (GLP/GMP/GCP) laboratory environment, with a proven ability to consistently follow Standard Operating Procedures (SOPs) and maintain meticulous records. Familiarity with FDA and EMA regulations and guidance concerning documentation, data integrity, and quality control systems relevant to the development and manufacturing process.
  • Proficiency in the operation, programming, and troubleshooting of laboratory automation equipment (e.g., liquid handlers) and closed, automated cell therapy manufacturing platforms (e.g., CliniMACS, Rotea).
Physical & Working Conditions
  • Ability to lift up to 25 pounds (e.g., equipment, materials) and lift up to 5 pounds overhead.
  • Ability to stand or sit for long periods of time  while performing lab tasks, operating specialized equipment, using a microscope, and analyzing data/preparing presentations; this includes the potential need to stand inside a robotic cluster for maintenance or intervention when necessary.
  • Ability to reach, stoop, crouch, and kneel   while performing lab tasks; this includes the potential need to crouch or kneel inside a robotic cluster for maintenance or intervention when necessary.
  • Must possess excellent manual dexterity and fine motor skills for repetitive tasks such as precise pipetting, small-scale cell culture manipulation, and operating complex instrumentation.
  • Work is primarily performed in a laboratory setting which requires strict adherence to safety protocols (e.g., Biosafety Level 2).
  • Potential exposure to hazardous materials, including biological agents (e.g., human samples, cell lines) and cryogenic materials (e.g., liquid nitrogen).
  • Required use of Personal Protective Equipment (PPE), including lab coats, safety glasses, and gloves for extended periods.
  • This role requires the ability to work a standard schedule, but may necessitate occasional evening or weekend work to complete time-sensitive experiments (e.g., process dependent media addition or exchanges, sampling).
  • Some roles may require on-call availability or work during non-standard business hours depending on the nature of the research or manufacturing schedule.
Travel
  • While our headquarters is located in San Francisco, CA, this position will require up to 25% domestic and international travel.
Total Rewards & Life at Multiply Labs
  • Competitive Compensation: Salary range of $115,000 - $135,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building.
  • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents.
  • Wealth Building: 401(k) with a 4% company match to help you plan for the long term.
  • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs.
  • Parental Support: Robust Paid Parental Leave to support your family’s newest additions.
  • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it.
  • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged.
  • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events.
  • H-1B and Green Card sponsorship available for exceptional talent.
  • Referral bonuses for helping us build a world-class team.
  • Great people, meaningful work, and a team that genuinely believes in what we're building.
 
Come build the world’s best robots—and help make life-saving therapies accessible to all.
Multiply Labs is an early-stage startup where equity is a major part of the compensation package.
We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work.
Multiply Labs encourages candidates from all backgrounds to apply — even if you don’t meet every qualification. If you’re excited about our mission and think you can contribute, we’d love to hear from you.
Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. Some roles may require 5-10% of domestic and international travel.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.