Staff Material Scientist Jobs

Role 2: Assess the battery performance data and help define and verify requirements of quality and reliability under various operational scenarios

Excellent communication, organizational, and collaboration skills with the ability to convey information and content easily and effectively to stakeholders and customers

Working closely with Battery Products, Cell Development, and other teams at Form to:

Role 2: Integrate system reliability modeling with grid reliability modeling

Role 2: Build ML models for real-time forecasts unique to our technology for dispatch decisions

Interface with stakeholders across the various teams at Form to define analysis goals, and execute and communicate results

PhD in Statistics, Operations Research, Industrial Engineering and Mathematics or other quantitative fields with 3+ years of relevant work experience.

Strong knowledge of mathematical programming modeling, optimization, and machine learning.

Demonstrated production-level coding and programming abilities.

Experience of building large-scale Machine learning (deep learning and reinforcement learning) or optimization driven products.

Work with operations and product stakeholders to understand business needs and interpret them with scientific languages.

Independently develop Proof-Of-Concepts models of solves sequential decision making processes.

GLP study director or project management experience required.

Strong computer, scientific, and organizational skills

Bachelor’s degree in relevant field (e.g. biology, zoology, environmental science, marine or fisheries science) with 15 years of experience

A PhD in a relevant field may be substituted for Bachelor’s or Master’s degree and experience.

Study Director responsibilities include, but are not limited to, the following

Completes work for research and development under GLP guidelines for studies, documentation, etc.

Experience using various cell and molecular biology techniques to assess cell/tissue-biomaterial interactions

What your manager wants you to know:

Develop and execute in vivo and in vitro assays and models to evaluate the cell/tissue response to implantable biomaterials/medical devices

Perform scientific studies to develop and qualify new test methods and/or procedures

Perform data analysis and interpretation of results and prepare data presentations for internal and external stakeholders

Document and prepare data summaries of methods and results in written reports

Document Change Management experience, SOP Revision Management

Serves as management designee and will have limited input into the OTE colleague performance assessment process.

Trains others in the theory and practice of both laboratory techniques and quality systems including investigations, instrument qualifications, etc.

Independently writes SOPs, technical reports, project plans, instrument qualifications, etc.

Applicant must have high school diploma (or equivalent) with six years of relevant experience.

OR an associate degree with four years of experience.

Strong background in statistics, either from academic research or industry experience

Advanced statistical programming skills, e.g., in Python or R

Experience manipulating, visualizing, and interpreting big data

PhD in statistics, math, physics, or another quantitative research area

Ability to interpret and work with data in the presence of ambiguity (e.g., confounding factors, data sparsity or quality challenges),

Willingness, ability, and patience to understand highly complex systems

At least 90% technical contributor, up to 10% management

Significant experience deploying and managing production-grade “Big Data” systems. Broad Knowledge of best practices in large- and small-scale data processing

Experience with ML frameworks such as TensorFlow or PyTorch

3+ years of experience with data scripting languages or statistical/mathematical software (Python, R, Matlab, etc.) and database languages (SQL, etc.)

Experience deploying Machine Learning solutions. Proficiency in data structure & algorithm design.

3+ years of hands-on experience in advanced machine learning topics including natural language processing, computer vision, or advanced statistical methods

Experience working on projects within the jurisdiction of the Indiana Department of Environmental Management (IDEM).

Experience and qualifications for success

Experience conducting desktop research for preliminary wetlands evaluations and compiling field data into aquatic resource inventory reports.

Excellent communication, interpersonal skills, and high attention to detail.

1-2-years of experience leading natural resources field work focused on wetland delineations and aquatic resources assessments.

Extensive working knowledge of botanical species taxonomy and ability to identify species in the field.

Experience with A/B testing and ability to run rigorous experiments to produce scientifically sound recommendations.

Data driven storytelling experience with visualizations in Tableau, Power BI, etc.

You will collaborate with Business, Operations and Product Engineering to build data science products.

You will conceive and lead projects while being a hands-on builder of machine learning software components.

You will be a strategic thought partner for leaders across the organization on driving business impact through machine learning.

You will coach and mentor the next generation of strong engineers on the team.

Typically requires 0-2 years of experience.

Entry level data evaluation and analytical skills.

Bachelor’s degree in relevant technical field.

Exhibits strong work ethic, positive attitude, and general enthusiasm for the work.

Assists project team in preparation and review of data tables, soil boring logs, and figures and other components of technical reports.

Research and implement models to deeply understand and improve in-game experiences for our players (e.g., gameplay/balance tuning, player segmentation/clustering, etc.)

Up-level others on the team through mentorship and peer review using your experience and domain expertise

Passion and experience with games developed by Firaxis and Gearbox

Experience in applying statistical analysis, machine learning, and experimentation design within a consumer-facing business

Proficient in relational databases and SQL. Experience with big data technologies such as Apache Spark, NoSQL databases

Partner/influence directly with and regularly present insights to key strategic business partners (e.g., Growth Strategy, Marketing, Product Development)

Or equivalent combination of education and experience

Required: Master’s degree in Molecular Biology, Cell Biology, Biochemistry or related field with 3-5 years laboratory/research experience

Previous experience with cryo-EM, X-ray crystallography and biochemistry is preferred

Excellent organizational, record keeping, task prioritization, and report preparation skills

Outstanding problem-solving skills, ability to implement solutions

Excellent verbal and written communication skills

Participate in training and development activities to enhance technical, safety and professional skills

At least 2-3 years of experience with material synthesis and characterization related to energy storage

Experience with analytical techniques such as NMR, Raman, UV-Vis, FTIR, XRD and EM

Excellent written communication and interpersonal skills

PHYSICAL REQUIREMENTS / WORKING CONDITIONS

Design, synthesize and test novel material formulations for batteries and capacitors.

Strong analytical, problem-solving, and critical-thinking skills.

Design and perform experiments to evaluate material properties, performance, and suitability for specific EV applications.

Contribute to the development of sustainable and environmentally friendly materials and recycling processes for electric vehicle components.

Document research findings, prepare technical reports, and present results to internal stakeholders and external partners.

A Master's or Ph.D. degree in Material Science, Chemistry, Physics, or a related field.

A strong track record of research, patents, or publications in the field of material science.

Synthesize data into succinct presentations that influence senior management decision making

Knowledge of statistical modeling or machine learning is preferred but not a requirement

8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns

Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired

Intellectual curiosity and aptitude to pick up new technical skills

Strong programming skills in SQL, Python and proficiency in Tableau

Synthesize data into succinct presentations that influence senior management decision making

Knowledge of statistical modeling or machine learning is preferred but not a requirement

8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns

Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired

Intellectual curiosity and aptitude to pick up new technical skills

Strong programming skills in SQL, Python and proficiency in Tableau

Synthesize data into succinct presentations that influence senior management decision making

Knowledge of statistical modeling or machine learning is preferred but not a requirement

8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns

Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired

Intellectual curiosity and aptitude to pick up new technical skills

Strong programming skills in SQL, Python and proficiency in Tableau

Synthesize data into succinct presentations that influence senior management decision making

Knowledge of statistical modeling or machine learning is preferred but not a requirement

8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns

Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired

Intellectual curiosity and aptitude to pick up new technical skills

Strong programming skills in SQL, Python and proficiency in Tableau

We offer comprehensive compensation packages and inclusive health and wellness benefits.

Have 3+ years of experience working with cross-functional partners to develop and push forward strategies that impact multiple projects.

Have an expertise in Math, Operations Research, Physics, Statistics, Biostatistics, Economics, Finance, Computer Science, or another quantitative field.

Have strong software engineering and design skills and can work within a shared (Python) code base.

Have experience applying data analysis, machine learning, or statistical modeling to real world applications.

Have access to a wealth of unique data and best-in-class algorithms, providing a solid foundation to build on

The salary range for this position is $120,000 - $155,000 based on relevant education and experience.

Experience in developing new technology and new applications in the field.

Experience in both materials characterization and regulatory affairs to support product approval filing and marketing.

Knowledge of polymers in the implantable medical device field

10+ years of relevant product development or R&D experience (preferably with implantable hardware)

Career development with an international company where you can grow the career you dream of.