Staff Computational Scientist Jobs

Experience performing environmental collection, monitoring, sampling, testing and basic evaluation

Strong communication, problem solving skills, analytical skills, and organization skills with excellent attention to detail

Complete and maintain HAZWOPER certification with the 40-hour HAZWOPER environmental health and safety class, and annual 8-hour refresher classes

Currently have an Engineer in Training (EIT) certification or plan to obtain one within one year of starting preferred

Progressive vacation policies, company holidays and paid parental leave benefits to ensure work/life balance

What We Can Offer You

8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.

Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.

Experience leading key technical projects and substantially influencing the scope and output of others.

Strong communication skills. Explains work and thought processes clearly and concisely.

Strongly desired: experience working in Growth function, in particular, experience working on SEO, logged out user experience, user activation and sharing/messaging.

Strong Experimentation background. Experience with working on experiments with network effects.

Perform routine and complex research laboratory techniques, including sterile cell culture, molecular biology, and small rodent handling.

Educate, train, and supervise new students and research staff that assist in the project.

Keep the laboratory prepared for safety inspections.

Prepare progress reports for the PI and assist in the preparation of grant submission.

Master’s degree in the field of biology, biochemistry, or related field is required.

PhD in related field is preferred.

Highly motivated with excellent attention to detail. Good communication (oral and written) and collaboration skills.

Experience in cell culture and tissue preparation techniques.

Experience in troubleshooting and optimization of molecular biology assays including reagent formulation and workflow optimization.

Experience in product development including product release.

Advanced fluorescence imaging techniques. Experience in microscopy image analysis.

Additional Desirable Skills To Have

Work with engineering experts (local and remote) to gather and understand software requirements and implement new engineering models.

Specific Job Duties and Responsibilities

Work with local and remote teams to find, trouble-shoot, and resolve software issues.

Familiarity with software engineering concepts such as object-oriented programming, with the desire to expand this skill set.

Develop and improve engineering-level models for implementation into user-friendly software.

Proficient in one or more object-oriented language such as .NET, Java, and C/C++.

Literature review and investigation to identify key requirements on structure-based computational design for specific GPCR binding antibodies.

Great communication skills, (oral and written), along with a proven record of presentations and publications.

Experienced in research of GPCRs family would be highly desirable.

Hands-on experience in wet-lab techniques, coupled with a willingness to undertake training for additional wet-lab support tasks.

Experienced in molecular dynamics, simulation, physics-based computations or similar. (In particular of Rosetta).

Exceptional collaborative skills are a crucial, as the role requires working closely with a multi-functional team.

2-4 years of experience developing theory and applications to solve challenging real-life data science problems.

Experience with designing computational methods and tools.

Prior knowledge of neuroscience and/or neurodegenerateive disease biology is preferred, but not required.

Excellent oral and written English communication skills.

Develop, implement, and apply computational tools on genomic datasets.

Work closely with biologists to interpret and understand the data.

Extensive experience with high-performance scalable data-intensive distributed/cloud computing environments utilizing scientific workflow management systems ensuring data integrity and consistency

Strong analytical and problem-solving abilities, excellent communication and interpersonal skills

Strong programming skills (Python/R preferred) combined with proficiency in software engineering best practices (version control, documentation, deployment, unit/integration testing) (required)

Working knowledge of applying statistical modeling to draw robust conclusions from complex datasets

Implementation and maintenance of production-scale pipelines for the analysis of diverse sequencing data

Design and benchmarking of novel analysis pipelines for newly established assays and increasing reliability and throughput of existing systems

Experience with remote homology detection on protein and RNA desired

Design and implement biological mining pipelines

Curate novel candidates and nominate candidates for downstream characterization

Stay current on the field and think deeply about creative new ways to have an impact

Contribute to the lab through teamwork and discussion

MSc or PhD in a relevant field (e.g., computer science, molecular biology)

Position Location - This role is available in the following locations: Columbus, Austin or Remote ()

Time Zone Requirements - This team operates on either the East or West Coast time zones.

Generally 4-5+ years experience in autonomous research and development of high impact production models in the real world

Life insurance and disability benefits

Strong academic credentials with a master's degree in computer science, statistics, mathematics, or other quantitative areas of study; Ph.D. preferred

Ability to discover and deliver significant improvements to Upstart's core business while setting the standard for quality and velocity

8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.

Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.

Experience leading key technical projects and substantially influencing the scope and output of others.

Experience in the strategic analytics side of data science: shaping decisions rather than just building models.

What Skills Are Ideal But Not Required

Information regarding the culture at Pinterest and benefits available for this position can be found here.

You are experienced with agile methodologies using project planning and tracking management tools e.g., JIRA

You are skilled in Python. R, Scala are optional.

You are experienced in basic ETL practices. SQL experience is required, working experience in SparkSQL or PySpark is preferred.

You have experience with cloud environments including Azure, Google Cloud, etc.

Support the development of the Customer Decision Engine. Provide Causal Inference capabilities to cover the entire customer shopping journey.

Identify data collection opportunities to better understand the customer/associate experience. Support the build out of data feature store.

Present and visualise results in a clear and concise way to senior management for decision making.

Able to show good communication skills, and experience in visualising and reporting learnings.

4+ years experience as a data scientist in a technology company

Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics

Prior experience in advertising data products.

Leverage understanding of metrics, testing methodology and business strategy to help define the roadmap of the company.

Experience writing NGS analysis pipelines

Experience developing ML models for analysis of CRISPR editing

Experience with CRISPR editing, base editing, or prime editing is preferred.

Exceptional oral and written communication skills

Benchling, Tableau, or nextflow experience is a plus.

Design and analyze large library screens for CRISPR editing events

Experience assessing quality of common NGS analyses, including read quality, mapping statistics, read depth.

Experience with CRISPR editing or base editing is preferred.

Exceptional oral and written communication skills

Benchling, Tableau, or nextflow experience is a plus.

Oversee and maintain the core NGS editing analysis pipeline at Life Edit, including data cleaning, troubleshooting, debugging and critical decision making.

Problem-solve NGS-related issues to ensure data is accurate and reliable.

Solid foundation in statistical models (e.g. knowledge of advanced statistical techniques, their relative strengths, and weaknesses) and/or machine learning.

Excellent communication skills in written and verbal form.

Experience designing and implementing complex software systems, or software with low-level components is desirable but not required.

Proven experience in the development of computational methods for use by others.

Proven experience in data-intensive collaborative projects.

PLEASE INCLUDE A COVER LETTER WITH YOUR APPLICATION ***

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.

Agenus is Delighted to Provide you With a Comprehensive Benefits Plan, Including Some of the Following:

Highly competitive and inclusive medical, dental and vision coverage options

Flexible Spending Accounts for medical expenses and dependent care expenses

401k match and Financial Planning tools

We put the patient first

We are bold, and we are one