BioSpace · 2 days ago
Senior Machine Learning Engineer
Wonder how qualified you are to the job?
BiotechnologyCommunities
Insider Connection @BioSpace
Responsibilities
Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
Design machine learning pipelines and systems
Leads data science projects from inception, ideation, development, and implementation
Builds APIs to serve machine learning model results to applications
Ideates and builds feature stores to serve data science projects
Experiments and builds new capabilities as part of Data Science & Analytics Incubator
Enables data-driven insights to support of clinical development continuum, including precision medicine
Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
Identify business needs and support the creation of standard KPIs, reports, and statistical analyses;
Responsible for coaching and mentoring junior team members.
Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Bachelors degree statistics, analytics, bioinformatics, data science or equivalent field
Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies
Advanced career level proficiency in R, Python or other statistical packages
Intermediate-level knowledge of statistical and data mining techniques
Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
Proven expertise with Machine Learning and other advanced analytics techniques
Demonstrated effective communication skills
Demonstrated ability to communicate analytical and technical concepts in laymans terms
Demonstrated problem-solving and analytical skills
Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
Preferred
Masters degree preferred
Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
Benefits
Paid time off (vacation, holidays, sick)
Medical/dental/vision insurance
401(k)
Short-term incentive programs
Long-term incentive programs
Company
BioSpace
BioSpace is the leading online community for industry news and careers for life science professionals.
Funding
Current Stage
Growth StageTotal Funding
$10M2000-08-24Series B· $10M
Recent News
2024-05-31
2024-05-05
2024-04-06
Company data provided by crunchbase