1900 Scientist Utilities jobs in Waltham,MA

$121,000 - $198,000 a year

An incentive plan

Relocation assistance is available for this position.

Medical, dental and vision insurance

Life and disability insurance

Well-being programs

A 401(k) and pension plan

Career development opportunities

Tuition reimbursement

Flexible work

Time off, including vacation and sick time

Full-time

Ph.D. in Mechanical Engineering, Structural Engineering, Civil Engineering, or a closely related field required

A strong background in CFD and demonstrated experience developing and validating coupled fluid–structure interaction (FSI) and multi physics models are required

Experience with CFD, structural, and multi physics software such as ANSYS Fluent/CFX, OpenFOAM, STAR-CCM+, Abaqus, or comparable platforms.

Strong scientific programming and data-analysis skills using Python, C++, MATLAB, or similar tools.

Experience verifying and validating simulations using analytical solutions, benchmark cases, wind-tunnel or laboratory experiments, field measurements, or operational data; identifying model assumptions, strengths, limitations, and uncertainty; and clearly explaining their effects on engineering, risk, and loss estimates.

Experience applying finite element analysis and structural dynamics to evaluate stress, deformation, vibration, fatigue, buckling, damage, or failure.

Experience in one or more application areas, such as wind engineering and the built environment or renewable energy generation and storage.

Familiarity with artificial intelligence (AI), machine learning, reduced-order modeling, uncertainty quantification, sensitivity analysis, or optimization for simulation-intensive engineering problems.

3 years of relevant experience preferred

Master's degree in one of these fields plus at least 5 years of relevant experience considered

10 years strongly preferred

Experience with structural reliability, vulnerability or fragility development, probabilistic analysis, catastrophe risk modeling, or loss estimation is an asset.

Knowledge of the analysis and design of reinforced concrete, steel, and wood buildings and foundations for wind, tornado, earthquake, snow, and flood loads is preferred; candidates willing to develop this knowledge through training will also be considered.

Sign-on payments and restricted stock units (RSUs)

167,100.00 - 226,100.00 USD annually

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)

401(k) matching

Paid time off

Parental leave

3+ years of building machine learning models for business application experience

PhD, or Master's degree and 6+ years of applied research experience

Experience programming in Java, C++, Python or related language

Experience with neural deep learning methods and machine learning

Experience with modeling tools such as R, scikit-learn, Spark MxLib, MxNet, Tensorflow, numpy, scipy etc.

Experience with large scale distributed systems such as Hadoop, Spark etc.

Pay Range for this position: $139,400 - 209,200

Position may be eligible for sales or performance-based bonuses.

Health insurance, paid time off (PTO), retirement contributions, and other prequisites.

Minimum 8 years QA experience or other relevant experience with a minimum of 5 years in Clinical QA.

Bachelor's degree with a focus on scientific subjects

Sound experience with Regulatory Authorities inspections by major authorities (MHRA, FDA, EMA, PMDA)

In depth knowledge of drug development processes and respective international regulations/guidelines

Broad knowledge of relevant GxP areas (GCP, GLP, GVP)

Advanced Degree Preferred