Candidate Privacy Policy

This privacy notice (the “Notice”) describes the ways that Deepcure, the company recruiting you as a candidate (“Company,” “we,” “us,” “our”), collects and uses your personal data as a candidate (“you” or “candidate”). We work with data processors to whom we have instructed to collect, store, and process personal information on our behalf for the purposes of providing our services, for example, Comeet, as a recruiting and applicant tracking platform (“Platform”) to handle your personal data as a candidate. It also describes the rights and options available to you with respect to your personal data.

Please note that this Notice is provided only for transparency purposes. If you have any questions about your personal data, contact Deepcure directly.

We are the responsible party for the candidates’ personal data when provided to the Platform in the context of your candidacy. We determine the means and purposes for the processing of your personal data.

1. PERSONAL DATA PROCESSED

We receive personal data about you as a candidate for positions at the Company, such as: contact information, address, Curriculum Vitae (resumé) information (including information such as skills, work experience, education), notes submitted with the application, URL of your LinkedIn and other online profiles, the position for which you have been or are being considered, the source who submitted your candidacy (e.g., recruiting agency, referral), email correspondences between you, the Company and between the Company and other sources (such as recruiting agency and referrals) about your candidacy, information from references, events in the lifecycle of your candidacy, your responses to questionnaires sent to you by us, information about your candidacy and employment options (such as availability to be hired and salary expectations), evaluations of your candidacy, internal discussions within the Company about your candidacy, materials you or other parties (such as evaluators or background check providers) submitted in relation to your candidacy. If you offer your candidacy by email or online, you are the primary source of the personal data. Your personal data can also originate from other sources, such as LinkedIn profile, recruitment agencies, headhunters, and referrals.

2. HOW YOUR PERSONAL DATA IS USED. LEGAL BASIS.

We will use your personal data in accordance with our Company Notice, including to evaluate and consider you as a candidate for positions in accordance with its processes and policies for assessing employment candidates, to contact you for your candidacy status and interviews, and to schedule meetings and interviews, amongst others.

The lawful bases we rely on for processing personal information are (if applicable to us under privacy law):

  1. You gave us your consent to the processing of your personal data (for one or more specific purposes).
  2. Processing is necessary to perform a contract to which you are a party or to take steps at your request before entering into a contract.
  3. Processing is necessary for the purposes of the legitimate interest and
  4. Processing is necessary for compliance with a legal obligation to which the

the controller is the subject.

*If you have questions about these uses, please contact us. Please note that the  

  legal basis is provided for GDPR purposes only.

3. WHO WILL PROCESS YOUR DATA

  1. We may share your personal data with our service providers and vendors who assist us in collecting, processing, and storing your personal data, including Comeet (who provide us with the Platform), in the context of your candidacy. These companies are authorized to use your personal data as necessary to provide these services or as otherwise permitted by us. Comeet’s privacy policy is available here.
  2. Personal data may be shared with or transferred to our affiliated corporate group entities (entities controlled by, under common control with, or controlling us, directly or indirectly).
  3. We may share your general recruitment status with third parties submitting your candidacy.
  4. If your details are submitted to the Company by a third party (such as an employee of the Company or a recruiting agency), the Company can give the third party access to your name, photo, and some of the general recruitment status.
  5. If you apply to a job opening using a unique referral link that was provided to you by an employee of the Company to which you are applying, the Company may share some of your general recruitment status, without identifying you by name, with the person that provided you the referral link.
  6. The purpose of sharing the above information is to operate incentive programs (i.e., employee referral bonus programs) of the Company and to provide feedback to third parties who submit candidates to the Company regarding their submission.
  7. If we are required to disclose your information by a judicial, governmental, and/or regulatory authority to comply with applicable laws, regulations, and rules (including, without limitation, federal, state, or local laws) and requests of law enforcement, regulatory and other governmental agencies or if required to do so by court order.
  8. If, in the future, we sell or transfer, or we consider selling or moving, some or all of our business, shares, or assets to a third party, we will disclose your personal data to such third party (whether actual or potential) in connection with the foregoing events.
  9. In the event that we are acquired by, or merged with, a third-party entity, or in the event of bankruptcy or a comparable event, we reserve the right to transfer, disclose or assign your personal data in connection with the foregoing events, including, in connection with, or during negotiations of, any merger, sale of company assets, consolidation or restructuring, financing, or acquisition of all or a portion of our business by or to another company.If you wish to receive further information, please contact us.

4. SECURITY AND DATA RETENTION

  1. Retention. We will retain your personal data for as long as we need it to assess you as a candidate or as long as we have a valid legal basis. In accordance with our internal data retention policies and practices, we can decide whether to keep your personal data, delete it, or pseudonymize/anonymize it.
  2. Security. We implement industry-standard measures to reduce the risks of damage, loss, unauthorized access, or use of your personal data. However, these measures do not provide absolute information security.

5. INTERNATIONAL DATA TRANSFERS

We host your personal data in connection with our use of the Platform either in the European Economic Area, in the US, in the country where we are located, or in countries deemed as providing an adequate level of data protection.

Your data will be accessible in the country where we or our service providers are located, the UK, the US, and countries deemed to provide adequate data protection.

See here the Platform’s vendors. For more information, please contact us.

6. YOUR RIGHTS

Your rights may vary depending on the applicable law. These rights may not be available in certain jurisdictions and/or may be subject to specific derogations or limitations. You may have the following rights:

  1. Ask us to receive a copy of your personal data stored on our servers, including the Platform.
  2. To update, correct, and/or delete your personal data.
  3. To request the restriction of processing concerning your personal data or to object to the processing of your personal data.
  4. To request to obtain a copy of your personal data in a structured, commonly used, and machine-readable format.
  5. If we rely on consent, please note that you can withdraw consent at any time and/or lodge a complaint with a supervisory authority.

*Please contact us if you wish to exercise any of these rights. If you choose to exercise any

  of your rights, we will handle these requests in accordance with applicable law, but please  

  note that the exercise of some of those rights may have some consequences for your  

  application as a candidate.

In the context of the Platform, we do not use any automated decision-making related to your personal data.

7. MINORS

We do not intend to collect personal data of children. If you have reason to suspect that children data is collected, you are kindly requested to immediately report it to us. If you have questions regarding children’s personal data contact us.

8. CHANGES TO THIS PRIVACY NOTICE

From time to time, we may change or update this Notice. If we do so, we will make efforts to notify you of such changes by any means.

9. CONTACT US

You may send requests, responses, questions, and complaints by contacting us:
info@deepcure.ai

100 City Hall Plaza, Boston, MA 02108

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Molecular Foundry

Manual synthesis dramatically stifles innovation in drug discovery for many reasons, including (i) substantial time costs, (ii) high FTE costs, (iii) low synthesis success rates (20-34%), and (iv) a bias towards known reactions.

At DeepCure, we are fixing these problems to unlock the vast chemical space that AI drug design tools want to explore, but don’t, because manually synthesizing such compounds would not be practicable.

Automated Robotic Custom Synthesis

Manual synthesis dramatically stifles innovation in drug discovery for many reasons, including (i) substantial time costs, (ii) high FTE costs, (iii) low synthesis success rates (20-34%), and (iv) a bias towards known reactions. 

 

At DeepCure, we are fixing these problems to unlock the chemical space that AI drug design tools want to explore but can’t because it is not practicably available to most chemists.

Synthetic

Steps

Reaction

Types

Reaction

Development

Industry
Standard

1

4-10

manual

91
100+2

fully 

automated

made possible with automated analytical evaluation, purification, evaporation, etc.

made practicable with automated reaction development

made feasible with miniaturization & quick turnaround (2-10 days)

Notes: 1 4+ by Q2 2024. 2 Planned to reach by end of 2024.

MolGen™

Our molecular generation tool, MolGen™, designs novel, diverse compounds. Using state-of-the-art deep reinforcement learning (RL), MolGen™ constructs synthesizable compounds with features that capture the important molecular interactions for binding and selectivity, as well as deliver the desired ADME-tox profile of the target candidate profile (TCP).

Output of PocketExpander™

MolGen™ – building & iterating compounds

Novel, potent, & selective compound

Hypothesis Generation

Unlike other AI drug discovery companies, DeepCure does not use AI to simply match a library of compounds to a known pocket. Instead, we use our patent-pending AI methods to create causal, data-driven, human-interpretable hypotheses for binding to a given protein target. This enables us to go beyond known binding sites and ligands.

Structure-Based

Our hypothesis generation starts with a rigorous analysis of available structural information. Beyond the standard steps involved in structure preparation, our proprietary protocols also include methods for repairing structures (e.g. building missing loops) and generating more robust structures leveraging molecular dynamics (MD).

PocketExpander™

For most therapeutic targets, there is no data, limited data, or biased data. PocketExpander™ allows us to generate novel hypotheses by leveraging AI/ML and computational chemistry methods to map the protein surface and identify novel binding modes (shown as colored dots). The outputs serve as the blueprints for our molecular generation tool, i.e. MolGen™.

Causal Analysis

ML methods for drug discovery typically focus on correlations, which lead to biases for the types of compounds that have previously failed in discovery. In contrast, DeepCure uses a causal ML approach to find binding interactions without the biases for fruitless binding modes to design truly novel compounds.

Medicinal chemists engage in a conversation with explainable models

DeepCure’s platform is designed to be human-interpretable. By seeing how molecules are predicted to interact with the protein, scientists can make rational design changes to the molecule and explore interesting molecular interactions – ensuring we don’t blindly follow the ML algorithm or chemists’ intuition.