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Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI machine learning deep learning statistical data processing regression techniques neural networks decision trees clustering pattern recognition probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types topics and scientific challenges and approaches.
May work with knowledge architects informaticians and clinicians at Mayo and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users often at the point of care. Applies and modifies existing scripts or software applications to support data management data extraction data analysis and AI as required
May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling operations research machine learning or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.
Other responsibilities:
Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect explore and extract insights from structured and unstructured data.
Has advanced expertise in the methods used to analyze data and advanced knowledge of data types topics and scientific challenges and approaches.
Will work with other staff in developing data analysis tools and predictive models using advanced data analysis techniques and artificial intelligence and machine learning.
Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
Leads the interpretation of data analysis and writing reports.
Dr Iranis research group is a translational neuroimmunology lab with a team of 10 individuals. Many have joined Mayo after working with him in Oxford UK. They are a vibrant hardworking and collegiate group passionate about their work and dedicated to addressing the most pressing challenges confronting their patients. Their major aim is to solve the immunobiology underlying neurological illnesses with a focus on causes of encephalitis and neuromyelitis optica. Towards this goal the team aim to clone multiple monoclonal antibodies from their patients. In addition they are translating their work to forms of dementia and some cancers.
As part of their expanding bioinformatics work they are seeking a new member to:
Serve as a central hub for bioinformatics in the laboratory
Understand immune concepts including neoantigens and epitope convergence
Handle large volume of data sets over 200000 rows of data
Analysis of single cell sequencing data from leucocytes
BCR and TCR data analysis in AIRR format
Knowledge of R Python and Bash/SLURM scripting
Collect enter and summarize data from these findings
Manage local national and international collaborations relating to these data
Assist the principal investigator with various administrative tasks.
Presenting at research laboratory meetings and contributing to writing of manuscripts.
Working under supervision and may perform some assignments independently as discussed and approved by Principal Investigator.
This vacancy is not eligible for sponsorship/we will not sponsor or transfer visas for this position. Also Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
During the selection process you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview a question will appear on your screen and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps.
A Bachelors degree in a relevant field such as engineering mathematics computer science health science and at least 12 graduate level semester hours in domain-relevant sciences or seven years or more of data science and AI experience.
The preferred candidate will possess a PhD or Masters degree with one year experience in a relevant field such as engineering mathematics computer science health science or other analytical/quantitative field and a minimum of one year of professional or research experience in data.
The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Expertise in the use of scientific computing and data management packages. Ability to prioritize organize and delegate various tasks on projects. Demonstrated initiative in administration education (seminars training) software development and technical reports. Demonstrated success in project management and communication skills. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling machine learning or data mining techniques. Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problem-solving methodologies planning techniques continuous improvement methods project management methods and analytical tools and methodologies (e.g. machine learning statistical packages modeling etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Strong interpersonal skills to include presentation negotiation persuasion and written communications skills are required. Strong time management skills also are required. In addition requires strong analytical skills consulting skills ability to identify and recommend solutions advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.
Required Experience:
Senior IC
Full-Time