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Computational Scientist - Job Opportunity at Constantiam Biosciences

Remote, United States
Full-time
Senior
Posted: January 21, 2025
Remote
USD 100,000 - 180,000 per year

Benefits

Comprehensive Health Insurance with competitive coverage
401(k) retirement plan with company support
Equity participation for long-term value creation
Flexible PTO policy with sick leave and floating holidays
Federal holiday observance
Professional development and mentoring programs

Key Responsibilities

Lead development of computational platform for genetic variation analysis
Design and implement generative models using probabilistic programming frameworks
Evaluate model accuracy and uncertainty calibration
Develop integrated database and customer-facing applications
Collaborate with development team on platform architecture

Requirements

Education

MS in quantitative field (science, math, engineering)

Experience

5+ years experience with statistical data modeling

Required Skills

Statistical data modeling Quantitative analysis Bayesian statistical methods Genomic data analysis Protein sequence and structure analysis Machine learning Natural Language Processing Programming Cloud-based systems
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Sauge AI Market Intelligence

Industry Trends

Bioinformatics sector experiencing rapid growth due to increased focus on precision medicine and genetic therapeutics Integration of machine learning with genomic analysis becoming standard practice in biotech research Rising demand for computational expertise in pharmaceutical R&D as drug development becomes more data-driven Increased adoption of cloud computing and distributed computing in genomic research

Salary Evaluation

The offered range of USD 100,000-180,000 is competitive for senior computational scientists in biotech, particularly considering the remote nature and equity compensation

Role Significance

Early-stage startup environment suggesting a small, highly skilled team of 5-10 technical staff initially
Senior individual contributor role with significant platform development responsibilities and potential for technical leadership

Key Projects

Development of proprietary genetic variation analysis platform Implementation of machine learning models for disease prediction Integration of clinical and experimental data systems Development of customer-facing analysis tools

Success Factors

Strong foundation in both statistical methods and biological systems Ability to translate complex biological problems into computational solutions Experience with modern ML frameworks and cloud architecture Strong communication skills for cross-functional collaboration

Market Demand

Very high demand with significant growth trajectory expected over next 5 years due to expansion of precision medicine initiatives and genetic therapy development

Important Skills

Critical Skills

Statistical modeling expertise for accurate genetic variation analysis Machine learning proficiency for predictive modeling Programming skills for platform development Understanding of genomic and protein data analysis

Beneficial Skills

Experience with cloud architecture for scalable solutions Natural Language Processing for literature analysis Business acumen for customer solution development Project management capabilities

Unique Aspects

Early employee position offering significant influence on company direction
Integration of multiple cutting-edge fields (genomics, ML, clinical data)
Focus on practical applications of complex scientific analysis
Strong emphasis on employee ownership through equity

Career Growth

2-4 years typical progression to technical leadership roles in fast-growing biotech startups

Potential Next Roles

Technical Lead Chief Scientific Officer VP of Bioinformatics Director of Machine Learning

Company Overview

Constantiam Biosciences

Early-stage biotech startup focused on precision diagnostics and therapeutics through genetic variation analysis

Emerging player in the growing precision medicine market with innovative ML-driven approach
Remote-first company suggesting national reach with potential for international expansion
Scientific-driven culture with emphasis on innovation, autonomy, and practical results
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