Entry Level Protein Scientist Jobs in Florida, Orange, New York

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modelling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modelling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data Bricks or PySpark

Knowledge of optimization and predictive modelling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

1 year Experience with Data bricks or PySpark

1 year Experience with product ionizing data models

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Basic experience in computational finance, econometrics, statistics, and math.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Basic experience in computational finance, econometrics, statistics, and math.

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Basic experience in computational finance, econometrics, statistics, and math.

Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Basic experience in computational finance, econometrics, statistics, and math.

Minimum 1 year of work experience - Remote (US/Canada Residing people only, with work permit)

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

A project manager - You have exceptional project and people management skills

A strong communicator who can easily communicate complex solutions cross functionally and to upper management

Manage cost savings initiatives through our strategic sourcing process to ensure that we hit our targeted budget

Proactively manage quality specifications and factors that influence ingredient standards

Detail-oriented – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work

A team player- You have experience working effectively in teams and prioritize collective goals over personal accolades

Basic experience in computational finance, econometrics, statistics, and math.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or equivalent experience)

Experience with data manipulation and visualization tools (e.g., pandas, NumPy, Matplotlib)

Strong problem-solving and critical-thinking skills

Excellent communication and collaboration abilities

Knowledge of big data technologies (such as Hadoop, Spark, or Hive)

Experience with data preprocessing and feature engineering

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Databricks or PySpark

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data bricks or PySpark

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Basic experience in computational finance, econometrics, statistics, and math.

Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data bricks or PySpark

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

1 year Experience with Data bricks or PySpark

Basic experience in computational finance, econometrics, statistics, and math.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Strong knowledge of R or Python for data analysis and modeling.

Excellent teamwork and communication skills.

Strong analytical and problem-solving abilities.

Knowledge of actuarial concepts and life, health, and/or annuity products.

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.

Interface with and properly utilize the laboratory information management system [LIMS] for record-keeping purposes and for testimony support

Meets FBI QAS degree qualifications (Bachelor’s in biology, forensics, or a related discipline)

Meets FBI QAS coursework requirements (necessary credits in the following courses: biochemistry, molecular biology, genetics, and statistics/ population genetics)

Prior biological laboratory work experience is preferred

Exemplary written and oral English communication skills

We are excited to meet you and learn more about your qualifications.

Permitting and compliance experience preferred with knowledge of local, state and federal environmental regulations

Communicating environmental requirements directly to the project team and/or client.

Proficiency in Excel, Word and basic computer skills required

Basic GIS skills a plus

Strong verbal and written communication skills

Excellent organization and communication skills with extreme attention to detail

Field work associated with wetland/stream delineations and land management monitoring

Bachelor’s degree in Environmental Science related field, Biology, Ecology, Forestry, Geology, Natural Resource Management and others

Knowledge and experience with Section 404 Permitting

Must have good verbal and written communication skills

Experience conducting Phase I Environmental Site Assessments (ESA)

Experience with NPDES General Construction Stormwater Permit compliance and site compliance inspections

1-3 years of experience in a laboratory setting (QA experience preferred)

Assist in data entry in various formats and verify accuracy of data entry

Package - Commensurate with expertise and experience

Experience and competencies in the following is a Plus -

Set up experiments under the guidance of a Scientist II and/or Team Lead

Operate equipment, observe and log the progress of experiments

Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.

Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.

Collaborate with stakeholders to prioritize projects and define requirements.

Skilled at translating a general question or problem into a clearly defined algorithmic solution.

Ability to work independently and manage multiple projects simultaneously.