Science Lead Job Description
Science Lead Duties & Responsibilities
To write an effective science lead job description, begin by listing detailed duties, responsibilities and expectations. We have included science lead job description templates that you can modify and use.
Sample responsibilities for this position include:
Science Lead Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Science Lead
List any licenses or certifications required by the position: ESL, PMP, PMI, INFORMS, GCP, AI, AGILE, ASQ
Education for Science Lead
Typically a job would require a certain level of education.
Employers hiring for the science lead job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Computer Science, Mathematics, Engineering, Science, Economics, Finance, Sciences, Physics, Management
Skills for Science Lead
Desired skills for science lead include:
Desired experience for science lead includes:
Science Lead Examples
Science Lead Job Description
- Guide students through the development of real world projects that will showcase their abilities to hiring managers
- Inspire students to persevere through the challenges of learning complex subjects
- Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students worldwide
- Collaborate with Global remote faculty to deliver full-time instruction 5 days a week, including teaching and student advising
- Foster a dynamic and collaborative classroom community that will inspire students to persevere through the challenges of learning complex subjects
- Collaborate with your instructional team to plan instructional activities, plan discussion sections, plan labs, and determine how to best meet the needs and learning styles of all students
- Ensure necessary governance and controls are in place to ensure successful delivery, and ensure adherence to IDS project delivery framework
- Lead the project team by example
- Create and lead a central product and enterprise data science function to support the business in creating business-relevant insights from data sets of varying size
- Provide analytical support to various internal business partners and stakeholders
- Strong knowledge of databases and/or data models, Statistics (Regression, Clustering, Decision trees, Hyper graphs etc), Simulation, scenario analysis
- Bachelor’s degree from a top university with emphasis on coursework of a technical and quantitative nature, preferably Mathematics, Statistics, Computer Science, Engineering or related fields
- Database query development
- Strong statistical know-how - data mining, causal inference, time series
- A doctorate level degree
- Strong management skills with demonstrated ability to plan for resourcing needs, set goals and objectives, establish and recalibrate priorities, provide feedback and appraise work
Science Lead Job Description
- Day to day management of the team split across 2 locations
- Performance management of the team, including career progression, development planning and cross-skill of team members
- Code review, setting team direction and planning the projects the team will be working on over the next 12 months
- Backlog prioritisation
- Upgrades, migrations etc
- High-technology engineering and manufacturing
- Semiconductor processing and packaging
- Vacuum technology
- Integrate, synthesize and analyze internal and external data related to defined translational questions of fundamental importance to the field of Immune-Oncology (IO) so to
- Generate actionable and strategically relevant scientific Insights, hypotheses, and recommendations to stakeholders across the enterprise
- Phd in Math, Statistics, Machines learning
- Significant hands-on related experience in predictive modeling and data mining
- Demonstrated ability to lead cross functional teams on medium to large scope projects
- EC-6 Generalist OR 4-8 Generalist OR 4-8 Science
- Qualified to degree level in Data Science, Computer Science, Applied Physics, Applied Mathematics or Statistics
- Minimum of 10 years’ experience in advanced analytics, including predictive modeling, statistical computing, machine learning and natural language processing (NLP)
Science Lead Job Description
- Provides comprehensive programming leadership and analytical skills to clinical project teams, including deployment of programming strategies, standards, specifications and programmed analysis to comply with regulatory requirements, corporate and departmental SOPs and work practices
- Research, develop and/or oversee content for the NEON Data Skills web portal (neondataskills.org), including content related to
- Ensures accurate and timely completion of regional team administrative duties, projects and other assignments
- Build text analytics solutions by applying advance techniques for entity extraction and topic clustering Enable high frequency low-cost experimentation to empower MSEG scenarios
- Manages process sciences laboratory activities on site level for product transfers (process, technology, analytics, capacity, resources)
- Provides technical expertise together with site experts
- Develop scale down validated process models
- Ensure that all activities are performed to current standards such as GxP, HSE, Regulatory, Data Integrity
- Manages technology transfer for scale-up in the Pilot Plant
- Support continuous process and quality improvements
- Expertise in writing and optimizing SQL
- Experience in using other analytical tools like SPSS, MATLAB, or STATA
- Intellectually curious and hold a creative approach to problem solving
- Seasoned presenter in front of large audiences
- Experience creating complex SQL queries for standard ad hoc data mining purposes
- The successful candidate will be a highly motivated and collaborative scientist with the ability to manage multiple projects simultaneously while working in a matrix organization
Science Lead Job Description
- Develop experiments to support process and manufacturing
- Participate in transfers and launches by provide relevant process data through lab studies and pilot plant runs
- Support equipment qualification for new technologies for MS&T labs and pilot plant
- Participate in improvement and remediation of products
- Be a senior advisor in case of difficult manufacturing challenges at Site
- Ensure Training is complete
- Conducts analysis of organizational needs and goals and works with Data Science management to plan the execution of work including coming up with budget, timelines and resource needs
- Develops governance models, project management templates, business processes to run the projects smoothly
- Monitors model performance of existing analytics models, documents the user feedback to enhance the models
- Mentors more junior Data Scientists
- PhD, MD, PharmD or equivalent advanced biology degree in Oncology or Immunology-related field, is required
- Minimum 10 years of clinical, drug development experience (biotech or pharma industry) with an understanding of the role of translational research and clinical biomarkers, experience writing clinical protocols and the ability to multitask across multiple development assets within a matrix environment is preferred
- Demonstrated and strong working knowledge and experience in design, execution and interpretation of standard oncology and/or immune-oncology assays and platforms
- Strong verbal and written communication skills, with the ability to analyze and present data in a clear professional format, is critical
- Domain expertise in statistics, mathematics, and probability
- A deep understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools
Science Lead Job Description
- Collaborate with R&D IT Strategy to develop joint digital strategy including data, services, applications, and analytics
- Deliver regulatory submissions in line with the applicable regulations, directives and guidelines, and in line with agreed strategies and timelines
- Identify new opportunities, technologies, risks, and trends
- Work with engineering to design earth science-specific features for our digital products
- Develop novel ways of integrating, mining and visualizing diverse, high dimensional and disparate data sets
- Formulate, implement, test, and validate predictive models, and implement efficient automated processes for producing modeling results at scale
- Discover stories told by data and present them to others through rich and intuitive visualizations
- Drives the development and implementation of innovative strategies and technologies
- Develop compelling content that can be used both internally and externally
- Execute communications strategies in alignment with corporate communications plans to support corporate brand and profile
- Ability to demonstrate and explain the function of machine learning algorithms such as regularized regression, naive bayes, decision trees, ensemble methods, KNN, K-means clustering, and neural networks
- Hustle is critical, moving quickly and executing to allow for continual iteration is a strength you'll need on our team
- Adaptive – able to adapt styles or the level of working depending on what is appropriate at the time
- Can do, positive, enthusiastic
- Experience with Analytics tools a must
- Bachelor’s Degree in Ag/Life Sciences, Statistics, Data Science, Biological Sciences, technical, and/or quantitative discipline