Account Executive
Aiforia, Inc
Role and Responsibilities:
This exciting role at Aiforia™, an early-stage AI health technology company, requires navigating a complex/enterprise sales process, efficient communication, hunting within the existing customer base, with the main focus on closing net new logo accounts within pharma and biotech. You will work the deals from qualification, demo, purchasing & legal to closing.
Responsibilities:
Identify and hunt companies and who can become users of Aiforia with your target accounts and territory
Present our platform to potential clients and undercover their pain points
Manage the end-to-end sales process from cold outreach, qualification, proposals, creating quotes, and price negotiations
Align the required internal resources to realize the projects according to the customers’ expectations
Maintain and document all activities in CRM (HubSpot)
Learn and maintain in-depth knowledge of Aiforia products and technologies, competitive products, and industry trends
Represent the voice-of-customer internally and support the collection of customer requirements
Requirements:
BS in the areas of biology, pathology, or equivalent.
Knowledge with digital pathology and/or imaging software applications preferred
Sales experience of at least four years plus at a life science company and experience in selling SAAS is a plus.
Proven track record of exceeding targets with solid self-management, organizational, and prioritization skills
Competitive and focused on achieving goals: a demonstrated track record of successfully acceding goals and KPIs
Excellent presentation, written, and verbal communication skills
Willingness to travel, both regionally and nationally, up to 25% of your time to attend trade shows, conferences, and meet with clients
Link:
https://recruitomics.catsone.com/careers/86407-Aiforia/jobs/13761828-Account-Executive
Assistant Professor (non-tenure track) in AI Drug Discovery
CWRU School of Medicine
Assistant Professor (non-tenure track) - Center for Artificial Intelligence in Drug Discovery - School of Medicine
Posted
August 14, 2020
The Center for Artificial Intelligence in Drug Discovery at Case Western Reserve University School of Medicine has two non-tenure track assistant professor positions available in the areas of artificial intelligence, natural language processing, machine learning, data mining, systems biology, biomedical informatics, and other related computer science fields, with applications in drug discovery, disease mechanism understanding and health outcomes research. Successful candidates will have formal training in computer science, biomedical informatics and other related data science fields and extensive research experience and publication record in above related fields.
The responsibilities for this position include developing new computational methods for understanding disease mechanisms, drug discovery, and health outcomes. Conduct original research in developmental of computational, statistical and related analytical methods. Coordinate and lead collaborations locally, nationally and internationally. Present research results at national and international conferences. Write research papers and independent research grants.
The Candidate will have strong technical skills in computer science – artificial intelligence, natural language processing, data mining, machine learning, pattern recognition, graph theory, networks, systems biology, knowledge representation and engineering, ontology. Strong computer science background and programming skills are critical. Strong research experience, publication record and communication skills are necessary.
Applicants should submit a curriculum vitae, a brief statement of research interests, and arrange for at least three letters of reference to rxx@case.edu.
For more information, please visit: https://case.edu/medicine/aicenter/ or contact Rong Xu at rxx@case.edu, 216-368-0023.
Link:
https://case.edu/medicine/aicenter/job-openings
Research Associate in AI Drug Discovery
CWRU School of Medicine
The newly established Center for Artificial Intelligence in Drug Discovery at Case Western Reserve University School of Medicine in Cleveland, Ohio is seeking Research Associates and postdoctoral researchers to contribute to our core research focused on drug discovery, disease mechanism understanding, precision medicine and health outcomes research. The center aims at develop innovative artificial intelligence, natural language processing, data mining, machine learning, pattern recognition, graph theory, systems biology, knowledge representation and engineering, ontology and other computational algorithms to understand genetic causes of diseases, identify candidate drugs/compounds to treat diseases, elucidate how environmental factors contribute to diseases, and conduct health outcomes research. The center sponsors H1 visa applications.
QUALIFICATIONS
MS, or PhD degree in computer science, biomedical informatics and other related data science field.
REQUIRED SKILLS
Strong background in computer science.
Strong programming experience in Java, Python, C++, or Perl; experience with existing bioinformatics and computer science tools.
Must demonstrate willingness to learn new computational knowledge, techniques, and procedures.
Ability to work collaboratively in team environment.
Highly self-motivated individual; strong organization skills; ability to multi-task, prioritize and meet deadlines; proven ability to successfully follow-through on assigned projects.
Strong skills in scientific writing.
To apply, please send a CV, contact information for three references, and one sample publication by email to rxx@case.edu.
Link:
https://case.edu/medicine/aicenter/job-openings
Multiple AI/Data Science/Informatics positions at the AI.MED Lab at UAB
University of Alabama at Birmingham School of Medicine
Multiple postdoc positions from the AI.MED lab led by Dr. Jake Chen, Chief Bioinformatics Officer, the Informatics Institute, the University of Alabama at Birmingham. Dr. Chen is an international expert in translational bioinformatics and biomedical data science research with over 170 peer-reviewed publications and 200 presentations worldwide. He is currently President-elect of the Midsouth Computational Biology and Bioinformatics Society and an elected fellow of the American College of Medical Informatics. In 2019, he was recognized by Deep Knowledge Analytics as one of the "Top 100 AI Leaders in Drug Discovery and Healthcare" and three-time finalists of Indiana's MIRA Award on "Technology Mentors of the Year".
Dr. Chen's ai.MED laboratory(http://aimed-lab.org), founded in 2016 at the UAB Informatics Institute (http://informatics.uab.edu/) of the School of Medicine, has been developing informatics, data science, and engineering methods and software tools to understand and transform future biology, medicine, and healthcare. We are looking for postdocs from diverse educational backgrounds to analyze single-cell genomics, RNA-sequencing, and public biological knowledgebases. Send your inquiry with a cover letter and CV to jakechen@uab.edu
Link:
http://aimed-lab.org
Research Associate
Center for Computational Imaging and Personalized Diagnostics, CWRU
CCIPD at CWRU has a Research Associate position available. The Research Associate should have expertise in radiology or imaging methodologies/machine learning. The successful candidate will have at least 3 years’ experience and domain knowledge in radiology/imaging techniques. Graduate level experience in a biological discipline or computer science/biomedical engineering is required. An MD is preferred.
The Research Associate will be responsible for coordinating the efforts of the Center for Computational Imaging and Personalized Diagnostics when it comes to applying novel machine learning and deep learning tools in radiographic imaging of diseases towards detection, diagnosis, prognosis as well as treatment response. The Research Associate will serve as the clinical lead in the radiomics (machine learning in radiology imaging) projects ongoing in the lab. This will include expert annotations, segmentations, identifications of regions of interest, providing input in hand-crafted feature learning approaches, as well as quality control of images and algorithm validation and development. Additionally, the Research Associate will be the point person regarding all of the multiple radiomics projects including data acquiring, de-identification, clinical data management as well as database upkeep.
Please submit curriculum vitae, a cover letter, and 3 reference letters to:
Anant Madabhushi, PhD
Donnell Institute Professor & Director, CCIPD, CWRU
E-mail: anant.madabhushi@case.edu
