Benefits:

• Imagen’s offerings includes providing malpractice insurance, CME, licensure support and reimbursement, comprehensive life insurance, medical, dental, and vision plans, 401k, healthcare FSA, short-term & long-term disability insurance plans

Education Requirements:

• ABR or AOBR board-certified

Experience Requirements:

• Fellowship training in breast imaging is preferred

Responsibilities:

• 30-40 screening mammograms or 10-15 diagnostic mammograms per day

• Provide real-time consultations to patients

• Ability to read general studies (x-ray, US, and CT is a plus)

Benefits:

• Imagen will provide a complete workstation

• Best-in-class efficient reporting utilizing AI-optimized workflow

• Malpractice insurance

• 24/7 physician-dedicated IT team

Education Requirements:

• ABR or AOBR certified

Experience Requirements:

• 1+ year(s) of work experience interpreting studies

• Fellowship training is preferred

Responsibilities:

• Interpreting X-ray, Ultrasound, and CT studies

Benefits:

• Imagen will provide a complete workstation

• Best-in-class efficient reporting utilizing AI-optimized workflow

• Malpractice insurance

• 24/7 physician-dedicated IT team

Education Requirements:

• ABR or AOBR board-certified

• Must possess an active NY license

Experience Requirements:

• Fellowship training is preferred

Responsibilities:

• Interpreting MRI, CT, X-ray, and ultrasound studies

• Collaborating with referring doctors, specialists, and healthcare team members

Benefits:

• Imagen will provide a complete workstation

• Best-in-class efficient reporting utilizing AI-optimized workflow

• Malpractice insurance

• 24/7 physician-dedicated IT team

Education Requirements:

• ABR or AOBR certified

Experience Requirements:

• 1+ year(s) of work experience interpreting studies

• Fellowship training is preferred

Responsibilities:

• Reading X-ray, ultrasound, and CT studies

Education Requirements:

• ABR or AOBR certified

Experience Requirements:

• 1+ year(s) of work experience interpreting studies

• Fellowship training is preferred

Responsibilities:

• Reading X-ray studies

Benefits:

• Competitive pay rate

• CMU and ARDMS/ARRT/CCI certification reimbursement

• Free parking

• Fully-paid cross training program in Georgia

Experience Requirements:

• At least 12 months of clinical sonography experience

• Ability to lift equipment and/or assist patients onto the exam table as needed

Other Requirements:

• Hold a certification in ultrasound in one of the following registries (having both is a plus): General Ultrasound: ARDMS – (AB), (OB/GYN) or ARRT - RT(RDMS) and/or Vascular Ultrasound: ARDMS – RVT (VT), ARRT – RT (VS), or CCI – RVS

• Have been fully vaccinated or are willing to receive a COVID-19 vaccination and booster (religious/medical exemptions are allowed)

Responsibilities:

• Perform noninvasive general and vascular ultrasound procedures independently with remote support

• Complete preliminary reports for interpreting physician review

• Assist patients from check-in through exam completion and provide white glove, compassionate service

• Operate as an Imagen liaison for the practice

Benefits:

• Competitive pay rate

• CMU and ARDMS/ARRT/CCI certification reimbursement

• Free parking

• Fully-paid cross training program in Georgia

Experience Requirements:

• At least 12 months of clinical sonography experience

• Ability to lift equipment and/or assist patients onto the exam table as needed

Other Requirements:

• Hold a certification in ultrasound in one of the following registries (having both is a plus): General Ultrasound: ARDMS – (AB), (OB/GYN) or ARRT - RT(RDMS) and/or Vascular Ultrasound: ARDMS – RVT (VT), ARRT – RT (VS), or CCI – RVS

• Have been fully vaccinated or are willing to receive a COVID-19 vaccination and booster (religious/medical exemptions are allowed)

Responsibilities:

• Perform noninvasive general and vascular ultrasound procedures independently with remote support

• Complete preliminary reports for interpreting physician review

• Assist patients from check-in through exam completion and provide white glove, compassionate service

• Operate as an Imagen liaison for the practice

Benefits:

• Competitive pay rate

• CMU and ARDMS/ARRT/CCI certification reimbursement

• Free parking

• Fully-paid cross training program in Georgia

Experience Requirements:

• At least 12 months of clinical sonography experience

• Ability to lift equipment and/or assist patients onto the exam table as needed

Other Requirements:

• Hold a certification in ultrasound in one of the following registries (having both is a plus): General Ultrasound: ARDMS – (AB), (OB/GYN) or ARRT - RT(RDMS) and/or Vascular Ultrasound: ARDMS – RVT (VT), ARRT – RT (VS), or CCI – RVS

• Have been fully vaccinated or are willing to receive a COVID-19 vaccination and booster (religious/medical exemptions are allowed)

Responsibilities:

• Perform noninvasive general and vascular ultrasound procedures independently with remote support

• Complete preliminary reports for interpreting physician review

• Assist patients from check-in through exam completion and provide white glove, compassionate service

• Operate as an Imagen liaison for the practice

Benefits:

• Competitive pay rate

• CMU and ARDMS/ARRT/CCI certification reimbursement

• Free parking

• Fully-paid cross training program in Georgia

Experience Requirements:

• At least 12 months of clinical sonography experience

• Ability to lift equipment and/or assist patients onto the exam table as needed

Other Requirements:

• Hold a certification in ultrasound in one of the following registries (having both is a plus): General Ultrasound: ARDMS – (AB), (OB/GYN) or ARRT - RT(RDMS) and/or Vascular Ultrasound: ARDMS – RVT (VT), ARRT – RT (VS), or CCI – RVS

• Have been fully vaccinated or are willing to receive a COVID-19 vaccination and booster (religious/medical exemptions are allowed)

Responsibilities:

• Perform noninvasive general and vascular ultrasound procedures independently with remote support

• Complete preliminary reports for interpreting physician review

• Assist patients from check-in through exam completion and provide white glove, compassionate service

• Operate as an Imagen liaison for the practice

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• on-site gym

Education Requirements:

• PhD in a technical field or equivalent practical experience

Experience Requirements:

• Knowledge of the latest in large machine learning research

Other Requirements:

• Experience working with simulators and real-world robots

• Expertise in using large datasets with deep neural networks to make real robots useful

• A real passion for AI impacting real world robots!

Responsibilities:

• Design, implement and evaluate models and software prototypes of robotic agents.

• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.

• Suggest and engage in team collaborations to meet ambitious research goals.

• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• on-site gym

Education Requirements:

• MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

Experience Requirements:

• Proven knowledge and experience of Python or C++

• Experience in AI for Code, such as prior research and publications

• Deep foundational knowledge of machine learning and statistics

• Proven experience of JAX or similar ML frameworks (e.g., TensorFlow, PyTorch ) is highly desirable

• Experience pretraining, fine-tuning large, and/or applying RL to models

Other Requirements:

• Experience applying and productionizing state-of-the-art large visual, language and multimodal research

• Software Engineering experience and experience working on large-scale ML projects highly desirable

• Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial.

• A passion for Artificial Intelligence

• Great communication skills and proven interpersonal skills

• Experience in applying experimental ideas to applied problems

• Cross functional collaboration experience

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Prior experience working with product teams

Responsibilities:

• You’ll be improving the most promising models and research as it relates to high-impact real world problems, by rapid-prototyping initial concepts and designing and running experiments.

• You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.

• You’ll be embedded within a small project team of Research Engineers, and will be expected to drive the foundational research direction with the potential for significant impact in the short and long term

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• on-site gym

Education Requirements:

• PhD in a relevant technical field or equivalent practical experience

Experience Requirements:

• Research and development experience in media generative and/or restoration models, including but not limited to audio, images, video, and language

• Experience coding in one of the following programming languages including but not limited to: Python, C or C++

Other Requirements:

• Experience in working in the speech and/or acoustic field, e.g., text-to-speech, speech enhancement/separation, automatic speech recognition, and music and environmental sound generation

• Expertise in relevant research areas, evidenced by publications in high-impact journals and conferences, such as IEEE Transactions, ICASSP, INTERSPEECH, and ML-related conferences

Responsibilities:

• Research and development of new technologies for audio generative models including text-to-speech, audio restoration and separation, and music and environmental sound generation

• Collaborate with other research scientists and engineers to implement prototypes for new products, and work with product groups in Google to identify and implement approaches that AI can be used to improve existing and/or create brand-new Google products

• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing

Education Requirements:

• MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject

• Will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience

Experience Requirements:

• 2+ years of experience on machine learning teams, ideally at a start-up

• 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch

Other Requirements:

• Track record of contributing to novel methods for state-of-the-art Deep Learning (in industry or through publications) including large-scale Transformers, Graph Neural Nets, ConvNets, etc.

• Experience with Python is required

• Relevant experience working in a Linux/UNIX environment with basic data engineering and scripting abilities

• Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly

• Clearly communicate modeling setup and results at various levels of abstraction

Responsibilities:

• Scientifically direct the design and training of large-scale, state-of-the-art Deep Learning systems

• Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems

• Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches

• Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends

Education Requirements:

• PhD in Chemical Biology, Proteomics, or related field

Experience Requirements:

• 5+ years in industry experience focused on small molecule drug discovery at pharmaceutical or biotech companies, with a track record in leading small molecule proteomic initiatives

Other Requirements:

• Proven experience in proteomics research and small molecule drug discovery

• Track record in designing and executing complex scientific experiments

• Computational affinity, worked with computational biologists

• Experience in managing a team of PhD researchers

• Familiarity with AI applications in proteomics and drug discovery

• Strong budget management skills

• Excellent communication skills, adept at summarizing scientific progress for various audiences

Responsibilities:

• Drive the scientific strategy, aligning our proteomics research with AI-driven drug discovery initiatives

• Lead and nurture a team of PhD researchers, promoting a culture of innovation and discovery

• Oversee lab operations and facilities, maintaining an environment that fosters excellence and safety

• Plan and steer ambitious proteomics experiments, making key decisions to shape our scientific trajectory

• Prudently invest in state-of-the-art lab hardware to keep us on the cutting edge of proteomics research Bridge the gap between lab teams and computational workstreams, fostering a synergistic environment that maximizes data utility Manage and optimize the lab budget, ensuring resources are strategically allocated Provide regular updates on scientific progress, keeping stakeholders informed and inspired

Education Requirements:

• MSc or PhD degree in computational biology, bioinformatics or a related field

Experience Requirements:

• Possess mixed academic and/or industrial experience, preferably in the biotech industry

Other Requirements:

• Strong background in computational structural or systems biology

• Strong programming skills in Python, R and/or other languages

• Experience building reproducible and scalable computational biology workflows

• Experience designing and applying machine learning models

Responsibilities:

• Develop pilot capabilities and create large-scale data pipelines from the ground up

• Collaborate with other teams across VantAI and partnering organizations to achieve project goals by contributing code, analyses, benchmarks, optimizations and ideas to ongoing research-driven projects

• Integrate biological insights into the next generation of AI/ML models for drug discovery

• Validate and interpret computational predictions by working closely with experimentalists

Education Requirements:

• MSc/PhD degree in Chemistry, Computational Chemistry, Biochemistry, Chemical Engineering, or another related subject

Experience Requirements:

• Minimum 2 years (PhD) or 4 years (MSc) of post-graduate experience in small-molecule drug discovery

Other Requirements:

• Proven track-record in advancing drug discovery projects using in-silico methods; strong background in rational drug design

• Ability to adapt well to a fast-paced environment and get things done by combining creativity, problem-solving skills, and a can-do attitude to overcome obstacles

• Extensive experience in large-scale virtual screening using structure and ligand-based methods for hit identification and optimization

• Strong programming skills with at least 2 years of experience using Python for data analysis

• Excellent written and verbal communication skills along with a strong desire to work in cross-functional teams

Responsibilities:

• Lead small-molecule drug discovery projects using internal and external Machine Learning and CADD tools

• Drive drug discovery programs forward by quickly developing scalable tools to address specific project needs

• Work independently and in collaboration with Medicinal Chemists to prioritize small-molecule designs, clearly communicating the decisions to interdisciplinary audiences

• Collaborate with experts from other fields (e.g., Medicinal Chemistry, Machine Learning, Computational and Structural Biology, etc.) to advance integrated in-silico discovery platforms

• Design and execute large-scale virtual screening campaigns using both ligand and structure-based approaches

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Education Requirements:

• PhD or equivalent research experience

Experience Requirements:

• 3-5 years of customer-facing B2B technical sales experience

Responsibilities:

• Research and develop algorithms for computer vision-based problems including scene understanding and anomaly detection

• Develop performance and quality metrics for ML models and systems

• Collaborate with software engineers and product owners on system architecture, design and production code, especially where ML models are used

• Keep up to date with state of the art in ML and CV

• Mentor younger scientists

Education Requirements:

• Graduates of a reputable university

Experience Requirements:

• 8+ years in working on machine learning and deep learning algorithms (computer vision experience required)

• Prior experience in managing a team of data scientists

Other Requirements:

• Conceptual and applied understanding of key machine learning technologies like transformers

• Ability to explain complex technical problems in simple terms

• Ability to translate business questions into data science problems

Responsibilities:

• Lead the development of a mission-critical technical product

• Manage the product development team

• Lead the IP development of company and participate in publication writing

Education Requirements:

• Graduates of a reputable university

Experience Requirements:

• 3-5 years in working on machine learning and deep learning algorithms (computer vision experience required)

Other Requirements:

• Conceptual and applied understanding of key machine learning technologies like transformers

• Prior experience in deploying machine learning algorithms

• Collaboration skills for liaising with different stakeholders in understanding their requirements

• Passionate about healthcare and compassionate towards solving problems for social impact

• Leadership skills for leading a diverse team

Responsibilities:

• Ownership of a mission-critical product

• 0 to 1 product development

• Communicating with key stakeholders in the organization

• Passionate about healthcare and compassionate towards solving problems for social impact

• Leadership skills for leading a diverse team