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Remote Machine Learning Engineer Biotech Jobs in Colorado

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

AI and Data Science Engineer III

Denver, CO · On-site +1

$117.90K - $141.50K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

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Remote Machine Learning Engineer Biotech information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What are some common challenges faced by remote machine learning engineers in the biotech industry, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What does a Remote Machine Learning Engineer do in the biotech industry?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Colorado? The most popular types of Machine Learning Engineer Biotech jobs in Colorado are:
What are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Colorado? For Remote Machine Learning Engineer Biotech jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Machine Learning Engineer Biotech jobs? Cities in Colorado with the most Remote Machine Learning Engineer Biotech job openings:
Infographic showing various Remote Machine Learning Engineer Biotech job openings in Colorado as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Numerical Algorithm Software Engineer with Security Clearance

Senior Numerical Algorithm Software Engineer with Security Clearance

SciTec, Inc.

Boulder, CO • On-site, Remote

$128.90K - $170K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 hours ago


Job description

Description SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. SciTec has immediate opportunities for talented software & algorithm developers and engineers to support programs focusing on low-latency data processing, fusion, and tracking algorithms for exploitation of remote sensing systems. Our ideal candidate will work well in multiple software languages as part of a rapid pace, collaborative, small-team environment consisting of Scientists, Engineers, and Developers and be able to prototype and develop advanced algorithms leading to eventual integration in C++ on Linux operating systems as part of government frameworks. Responsibilities * Lead the research, development, and maturation of advanced numerical algorithms for remote sensing data exploitation across multi-modal sensor systems (e.g., EO/IR, SAR, RF) * Design, implement, and optimize high-performance algorithms in Python and C++, with a focus on scalability, efficiency, and operational robustness in mission environments * Architect and develop end-to-end signal processing, image processing, and data exploitation pipelines from prototype through production deployment * Advance modeling, simulation, and machine learning toolchains, including development of reusable frameworks and infrastructure to support algorithm evaluation and integration * Define and execute quantitative performance assessments of algorithms and sensor systems, including error characterization, sensitivity analysis, and validation against real-world data * Collaborate cross-functionally with software engineers, system architects, and mission stakeholders to integrate algorithms into operational systems and ensure mission alignment * Provide technical leadership within Agile development teams, including mentoring junior engineers, driving best practices, and contributing to shared codebases and tools * Support proposal efforts, technical roadmaps, and customer engagements by articulating algorithmic approaches and differentiators * Ensure compliance with mission assurance, security, and software quality standards applicable to DoD environments * Other duties as assigned
Requirements * Bachelor's or Master's degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field * 8+ years of experience developing numerical algorithms for signal processing, image processing, or sensor data exploitation (or 6+ years with a Master's, 4+ with a PhD) * Demonstrated expertise in developing and implementing algorithms in Python and C++ * Strong foundation in numerical methods, linear algebra, probability/statistics, and optimization techniques * Experience working with real-world sensor data (e.g., EO/IR, SAR, RF, or multi-modal systems) * Proven ability to evaluate algorithm performance, including error analysis, validation, and benchmarking * Experience working in Linux-based development environments and modern software development practices (version control, testing, CI/CD) * Ability to work effectively in Agile or iterative development environments * Strong written and verbal communication skills, including ability to convey complex technical concepts to diverse stakeholders
* U.S. Citizenship with ability to obtain and maintain a DoD security clearance (active clearance preferred) Candidates who have any of the following skills will be preferred * PhD in Applied Mathematics, Physics, Electrical Engineering, or related field * Experience with advanced signal/image processing techniques (e.g., detection, tracking, estimation, inverse problems, or computer vision) * Familiarity with machine learning frameworks and integration of ML models into operational pipelines * Experience optimizing algorithms for performance (e.g., parallel computing, GPU acceleration, memory optimization) * Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or space-based sensors * Experience transitioning algorithms from research/prototype to production/operational environments * Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) * Experience with modeling and simulation environments supporting sensor system development * Prior experience leading technical efforts or mentoring junior engineers * Active DoD security clearance *Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Benefits SciTec offers a highly competitive salary and benefits package, including: * 4% Safe Harbor 401(k) match * 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
* 100% company paid Hospital Indemnity insurance
* Voluntary Accident and Critical Illness 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 $155,000 - $180,000 / year. 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 proud to be an Equal Opportunity employer. VETS/Disabled.

SciTec logo

About SciTec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

1979