Sr. Staff/Senior Applied Scientist

SciTec Incorporated; Princeton (NJ); On-site; USD 113,000 - 168,000; Full time

Job summary

An innovative small business is seeking a talented Applied Scientist to join their creative team. This role involves developing advanced data exploitation techniques and algorithms in collaboration with subject matter experts. You will work on modeling and simulation software, applying cutting-edge data analysis techniques to real-world data. The position offers a dynamic environment where you can contribute to national security initiatives while growing your skills in a supportive team. With a competitive salary and comprehensive benefits package, this opportunity is ideal for those passionate about scientific instrumentation and data processing technologies.

Benefits

100% Company Paid HSA Medical Insurance

80% Company Paid Dental Insurance

100% Company Paid Vision Insurance

100% Company Paid Life Insurance

Generous Paid Time Off

Flexible Work Hours

Annual Profit-Sharing Plan

Discretionary Performance Bonus

Paid Parental Leave

3% Fully Vested Company 401K Contribution

Qualifications

• Masters degree in STEM with 3+ years of experience required.
• Expertise in numerical techniques and data analysis essential.

Responsibilities

• Develop algorithms and simulation software using Python and MATLAB.
• Provide technical guidance and scientific expertise for proposals.

Skills

Numerical Techniques

Signal Processing

Machine Learning

Data Analysis

Communication Skills

Education

Masters in Mathematics

PhD in Related Field

Tools

Python

MATLAB

Job description

SciTec has been awarded multiple government contracts and is growing our creative Team! SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense. We support customers throughout the Department of Defense and U.S. Government in building innovative new tools to deliver unique world-class data exploitation capabilities.

SciTec has an immediate opportunity for a talented Applied Scientist. SciTec’s data exploitation techniques are developed hand-in-hand with the leading edge of community understanding of the complex physics that govern the remote sensing phenomena of interest. This understanding happens at the interface of several disciplines: numerical techniques, exhaust plume chemistry, radiation transport, shock physics of condensed matter, hypersonic signature modelling etc. SciTec has made significant contributions to the community understanding, typically, through the development of reduced order models that shed light on the most important phenomena driving the signatures from empirical measurements. This model assisted data exploitation approach allows SciTec to demonstrate algorithm concepts in real-time applications rapidly to meet the ever-evolving challenges faced by our customers.

Responsibilities

• Create key algorithms while working closely with SciTec subject matter experts
• Develop modeling and simulation software, and data exploitation tools in languages such as Python and MATLAB
• Apply advanced data analysis techniques to real world data
• Provide technical guidance to teams aligned with contract deliverables
• Provide scientific expertise in the proposal writing process for future business development
• Other duties as assigned

Minimum Qualifications

• A Masters degree or higher in mathematics, chemistry, physics, engineering, or other STEM field
• 3+ years post graduation experience in academia or industry
• Expertise in one or more numerical techniques such as: Scheduling Algorithms, Signal Processing, Numerical Optimization, Molecular Simulation, Rocket Plume Simulation, Hypersonic Aero-thermal Simulation, Image Processing, Uncertainty Quantification, Shock Physics Simulation, Computational Fluid Dynamics, Statistics, Machine Learning, etc.
• Demonstrated ability for cross-discipline collaboration (SciTec’s culture emphasizes learning with staff enthusiastic to teach niche topics during the onboarding process and beyond)
• Ability to work in a variety of numerical frameworks whether based on Python or MATLAB
• Ability to obtain and maintain a DoD security clearance
• Detail oriented with good verbal and written communication skills

Preferred Qualifications

• A PhD degree in the mathematics, chemistry, physics, engineering, or other closely related field
• 5+ years of industry experience
• Existing DoD security clearance
• Experience with the exploitation and analysis of OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data
• Experience working on large shared code repositories
• Experience maintaining parity with prototype and deployed algorithms (e.g. Python or MATLAB bindings of operational C++ code)
• Flexibility in coding language used
• Proven quality technical writing
• Desire to interface with the customer
• Desire to work closely with program managers in an agile development environment

SciTec offers a highly competitive salary and benefits package, including:

• 3% Fully Vested Company 401K Contribution (no employee contribution required)
• 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
• 80% company paid Dental insurance
• 100% company paid Vision insurance
• 100% company paid Life insurance
• 100% company paid Long-term Disability insurance
• Short-term Disability insurance
• Annual Profit-Sharing Plan
• Discretionary Performance Bonus
• Paid Parental Leave
• Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
• Flexible work hours

The pay range for this position is $113,000 - $168,000/ year ($113,000-$133,000 for Sr Staff/$144,000-$168,000 for Senior). SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

SciTec is committed to hiring and retaining a diverse workforce and is proud to be an Equal Opportunity/Affirmative Action employer.